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Paper Citation Record · LEDGER

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text

As of 22 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.21610.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.21610 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:37:01.530196Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 300 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved85
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a41baa8c-9c18-4f25-85e6-d79d90d63e31 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Instruction-Following Evaluation for Large Language Models

Reference 1

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source=arxiv_source observed=2026-08-02T13:36:53.260547Z digest=sha256:81768e08a478f6a822455b0f969b112eb9d2f8b3651a0ad0b99893ece1bc56de

Observation 8488e099-edc1-4d2e-aa17-b30d0270e1ef · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 2

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source=arxiv_source observed=2026-08-02T13:36:53.415746Z digest=sha256:9c7e451563b9d88ac2bc0c8ed33696f05561e77e5f4a9865edca19534fce2f37

Observation a27993a6-8999-48a8-b4c8-cc086a310f47 · outbound

This paper cites 200多元带孩子吃了3个双人餐,纸包鱼铁锅炖香辣虾,没必要特别撑解馋就好\_哔哩哔哩\_bilibili , url =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text 200多元带孩子吃了3个双人餐,纸包鱼铁锅炖香辣虾,没必要特别撑解馋就好\_哔哩哔哩\_bilibili , url =

Reference 3

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source=arxiv_source observed=2026-08-02T13:36:53.576404Z digest=sha256:072d87776798cfea97096ef8409a12e26b8930bb8890287778175c01999243e5

Observation 5cb0ea9b-0032-4cf9-a665-36a9ac36155f · outbound

This paper cites MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

Reference 4

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source=arxiv_source observed=2026-08-02T13:36:53.687434Z digest=sha256:caccf8c776844b87c474cc3fbfa3ba1ee49fe53428d230e3ff8011b071ab0328

Observation 4ca3b4a5-a330-44d1-87f6-3a314e12163f · outbound

This paper cites Challenging.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Challenging

Reference 5

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source=arxiv_source observed=2026-08-02T13:36:53.835911Z digest=sha256:1784660b212abd3645f3090de02fa2b9a886656ef0d510a8e38700d8c2caa469

Observation 63db46cc-1c79-404d-9d24-8a51ea2bb774 · outbound

This paper cites Proceedings of the 60th.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Proceedings of the 60th

Reference 6

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source=arxiv_source observed=2026-08-02T13:36:53.937408Z digest=sha256:7493906b0e48fcc48f889c624f11f002b5eb1e54661dc07830760a145f1d9b2c

Observation ff7d2a22-4f31-4eb7-b487-4ca02e191efc · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 7

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source=arxiv_source observed=2026-08-02T13:36:53.993819Z digest=sha256:340a07d059f19feb9598c7363d7d9d650b5d0e4f97ec4b3eb7cb65d3bdd9ed3a

Observation f6f752b7-2f1d-4dcc-9eca-e7916b1bac7e · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 8

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source=arxiv_source observed=2026-08-02T13:36:54.105967Z digest=sha256:b00a20010216078f1464dc4b3b67553fc3db9574fe9c10763031c2880cfd6798

Observation 205b5194-62aa-4329-807c-231b48fcd2e0 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 9

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source=arxiv_source observed=2026-08-02T13:36:54.222045Z digest=sha256:0c77ce261ec3bba8a9d03841f978970ed4b83fe5f613f4c0606b1b4e267e0e04

Observation b0fb6832-ca6d-4d59-9fd3-51197ced17d2 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 10

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source=arxiv_source observed=2026-08-02T13:36:54.362415Z digest=sha256:6925bf6040d057fcaf8ecde721a9eedc9067968efc8de2c31bd812534aa3b01c

Observation 55b448c6-b89b-419a-b962-f539c3dc0ddd · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Training Verifiers to Solve Math Word Problems

Reference 11

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Observation ea0da88f-74de-4a5d-8603-85e3b9f46862 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 12

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Observation b916db1e-376d-4750-b5ac-cf38a3eb211c · outbound

This paper cites Proceedings of the.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Proceedings of the

Reference 13

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Observation 76ad6c48-eb8c-4802-b20c-06f7246e967d · outbound

This paper cites and Daly, Raymond E.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text and Daly, Raymond E

Reference 14

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source=arxiv_source observed=2026-08-02T13:36:54.762873Z digest=sha256:c344e8dbed9622f6c77f84cc81a08ccd0cf44bc42a87b1dad4784930bf239435

Observation dc4a4616-6425-461c-a386-a2d8b5d01dc0 · outbound

This paper cites LIONs: An Empirically Optimized Approach to Align Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text LIONs: An Empirically Optimized Approach to Align Language Models

Reference 15

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local_arxiv, observed 2026-08-02T13:38:29.460326Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5fbbc6fe-43a7-4ad8-83b8-68bfbc27b845 · outbound

This paper cites Achieving.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Achieving

Reference 16

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doi, observed 2026-08-02T13:38:29.274495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e027582c-d013-4221-9c20-6890a882666f · outbound

This paper cites Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement

Reference 17

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Observation 0df5751d-2d7d-4d09-a6fc-34ee0f07cbe6 · outbound

This paper cites Understanding.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Understanding

Reference 18

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Observation 99d3a19f-ef1e-4938-9cfe-2b2956b57fde · outbound

This paper cites Let's Verify Step by Step.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Let's Verify Step by Step

Reference 19

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Observation 2646d59d-e6cb-4e20-9fce-fcd77bf34f8d · outbound

This paper cites Proceedings of the 2024.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Proceedings of the 2024

Reference 20

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source=arxiv_source observed=2026-08-02T13:36:55.191218Z digest=sha256:1d8f45bd5d53c0a7f8591e28ad7f6de1f154998c69acb7d375500280b512c320

Observation aaeee69b-2017-43c0-a70b-38d6b7350112 · outbound

This paper cites PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Reference 21

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source=arxiv_source observed=2026-08-02T13:36:55.305100Z digest=sha256:905f6c0fba7a112067a101599e5e3794db17a8778e2c32ba3aa9c9d572da930d

Observation 18215bcd-3606-41f3-9138-f44a32ec6738 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 22

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Observation ffd12063-765c-4ab3-bb18-3f4fb5875c40 · outbound

This paper cites doi:10.48550/arXiv.2501.16607 , abstract =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text doi:10.48550/arXiv.2501.16607 , abstract =

Reference 23

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Observation f8aecaeb-b701-4d53-9dc9-40e428db9693 · outbound

This paper cites MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 24

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Observation ee45185d-3a94-4f41-8bdb-978a855d8dce · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 25

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Observation 2f502016-8f51-4883-b4e3-a651e759f82b · outbound

This paper cites ISA Transactions , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text ISA Transactions , author =

Reference 26

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 06e336ca-f42f-41ec-945b-171794956b00 · outbound

This paper cites ISA Transactions , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text ISA Transactions , author =

Reference 27

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e9ca4dcb-909b-410a-9c72-587f64f3a331 · outbound

This paper cites ISA Transactions , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text ISA Transactions , author =

Reference 28

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verified exact
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1f287503-af9c-4b81-865a-645ebcb8f508 · outbound

This paper cites Procedia Computer Science , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Procedia Computer Science , author =

Reference 29

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b23d1557-ece5-4e08-af91-11b1274a0902 · outbound

This paper cites ISA Transactions , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text ISA Transactions , author =

Reference 30

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 033aec77-1bbc-4f7b-b45d-f69011ffdfe0 · outbound

This paper cites Control Engineering Practice , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Control Engineering Practice , author =

Reference 31

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Observation 0d6b34cd-ec88-42a4-94ac-8da9f6c29216 · outbound

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SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Renewable and Sustainable Energy Reviews , author =

Reference 32

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 21de2478-3a78-4df6-af50-ec66cee72b28 · outbound

This paper cites A Token-level Text Image Foundation Model for Document Understanding.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text A Token-level Text Image Foundation Model for Document Understanding

Reference 33

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Observation da752a54-d624-4528-859d-44f132c7ca38 · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 34

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Observation 35783b72-aa3d-4470-8121-0eaf885c9031 · outbound

This paper cites A Survey of Direct Preference Optimization.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text A Survey of Direct Preference Optimization

Reference 35

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Observation c5180bea-9b51-49dc-9cc2-f9b147181b2d · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-02T13:36:56.388005Z

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source=arxiv_source observed=2026-08-02T13:36:56.388005Z digest=sha256:6ed2482328adced18f94c4bdc65719b68eff6bcca9d9a4f4f8823c6c879d73da

Observation a521c81a-e063-4479-9afa-ae5901e356de · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text ReFT: Reasoning with Reinforced Fine-Tuning

Reference 37

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source=arxiv_source observed=2026-08-02T13:36:56.480861Z digest=sha256:838b3c819d7a3d6ab4c016828a13c6027d6a8e9921afe36457050fe7b82cab9f

Observation 6bb2b48b-41ea-49b2-9069-9bae6d03b382 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 38

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source=arxiv_source observed=2026-08-02T13:36:56.645863Z digest=sha256:827243840dcb49c6bc2b086e86bc0f57b4b0b121b83f9697659ad42284ef2b8d

Observation e5b422ab-ff72-4c51-aa7c-6bc1bbeeb9a1 · outbound

This paper cites Training language models to follow instructions with human feedback.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Training language models to follow instructions with human feedback

Reference 39

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source=arxiv_source observed=2026-08-02T13:36:56.792675Z digest=sha256:88a2a3984dcd4f1952abfdad0bd74a9a7fd24edec17cc05fbf34f0b941c608b6

Observation 32d0abaa-13bd-4282-b250-105031436c8a · outbound

This paper cites Advances in Neural Information Processing Systems , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Advances in Neural Information Processing Systems , author =

Reference 40

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source=arxiv_source observed=2026-08-02T13:36:56.986088Z digest=sha256:7dde3f799d42a3dbb2f40fee601abe9a921c6cae74b7a0e3a938cf5d1eb9e72e

Observation bd5acc56-f3af-44d1-b7b0-0daffa70db87 · outbound

This paper cites Reward-Robust RLHF in LLMs.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Reward-Robust RLHF in LLMs

Reference 41

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source=arxiv_source observed=2026-08-02T13:36:57.114439Z digest=sha256:d462f9635ee4fde37ba8cf666f1adc155c4717464dda3a148bc0c0e53382d59b

Observation 97491ce7-be89-4c85-8d41-f835b08a9b61 · outbound

This paper cites Proximal Policy Optimization Algorithms.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Proximal Policy Optimization Algorithms

Reference 42

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source=arxiv_source observed=2026-08-02T13:36:57.266842Z digest=sha256:931f391c2c71533a21dfb86d4b56560aeb389202525fc67abf85f6edfea243a1

Observation fef9eb02-0056-4ee4-8a0f-ac2030eb0142 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-02T13:36:57.460965Z digest=sha256:164cc8c93f2c937993dd385f35bb7da97e1336222b1ce8f4013ac2a88dee8802

Observation 9c4c9411-800b-4671-ad2d-8f9c6d4a806f · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-02T13:36:57.537690Z digest=sha256:e790c8c33606ec87266ee951bcb51599f32af7ee73d6ba08ef9c4061e2439e2b

Observation d5131b09-6aba-497f-8f93-ab9fa004591d · outbound

This paper cites Mixtures of Experts Unlock Parameter Scaling for Deep RL.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 45

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source=arxiv_source observed=2026-08-02T13:36:57.613779Z digest=sha256:3832a57e8b15cce31c71250d7e02c37c0f5af22612cd06974c8e77ed12c9fa40

Observation 4fe75be6-d64f-4b5c-8d08-758eda673dea · outbound

This paper cites Nature , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Nature , author =

Reference 46

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source=arxiv_source observed=2026-08-02T13:36:57.696601Z digest=sha256:e3bd8b822f626bb258943b127685dc022541778e035717f08e389fc99471c4db

Observation 7882f234-a4d3-4063-ba79-01acb60ada3f · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 47

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source=arxiv_source observed=2026-08-02T13:36:57.819493Z digest=sha256:95832fef8335b8534d529c62861a08642e755f873d726f8bce6207bc8ecd51cd

Observation 33ebed08-760f-4cfd-ab22-fdca52a7c872 · outbound

This paper cites and Tegmark, Max , month = may, year =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text and Tegmark, Max , month = may, year =

Reference 48

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source=arxiv_source observed=2026-08-02T13:36:57.975012Z digest=sha256:76bb0cae53de1aa2a2c66ff40c345acbe928e947dc8f32e7734cc27433ae8bb9

Observation ee11e9f1-537c-4f9f-996a-ec3e1dff6755 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-02T13:36:58.209477Z digest=sha256:178cfe228745e2c0a9647e9d1dc93151a3107d9bfeca50decdf48e7cfcb18fba

Observation 54dcc253-2b80-4256-991f-d7c0f8ba161c · outbound

This paper cites and Harley, Tim and Silver, David and Kavukcuoglu, Koray , month = jun, year =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text and Harley, Tim and Silver, David and Kavukcuoglu, Koray , month = jun, year =

Reference 50

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source=arxiv_source observed=2026-08-02T13:36:58.379379Z digest=sha256:b5c62df2a12b8eecc1302fd34b57118ef022fca48cb314e512d1a130ce8a65c3

Observation 5ccd31be-fa16-4fe2-a328-a21f10929b38 · outbound

This paper cites A Generalist Agent.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text A Generalist Agent

Reference 51

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source=arxiv_source observed=2026-08-02T13:36:58.633772Z digest=sha256:e6d3bb388376a70231e58941fcd7e751bbe8b1b40882eed724f882cfe68c0e8a

Observation 8707bf4d-39d8-48c7-bbec-128fe2e7b726 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Evaluating Large Language Models Trained on Code

Reference 52

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source=arxiv_source observed=2026-08-02T13:36:58.812637Z digest=sha256:ff698ede3d44b3b7283f71eb7ad7c6eb5ba71cfffbfa5eecff90444d698e324c

Observation a3398c0f-877c-474a-9d26-b1845028fd1e · outbound

This paper cites Entropy , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Entropy , author =

Reference 53

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source=arxiv_source observed=2026-08-02T13:36:59.037013Z digest=sha256:548631719b0d80bc8959ad4553cb580e85585091a3eefd74294fcc543ccdb712

Observation 9a4ea9f1-beaa-4067-8e3f-88549c0b7c3e · outbound

This paper cites Instruction Tuning with GPT-4.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Instruction Tuning with GPT-4

Reference 54

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source=arxiv_source observed=2026-08-02T13:36:59.258807Z digest=sha256:d49145f5f8562b309690ff05a62fbc60efe7e114c54fb35d89517965f7338d68

Observation 130e1dcb-60a7-4523-9854-c1836d724865 · outbound

This paper cites Alpaca: A Strong, Replicable Instruction-Following Model , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Alpaca: A Strong, Replicable Instruction-Following Model , author =

Reference 55

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no resolver link, observed 2026-08-02T13:36:59.438316Z

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source=arxiv_source observed=2026-08-02T13:36:59.438316Z digest=sha256:5bbe5c50c14e27967c55c9ea11f5cf63848a921ceb48c2ad2be94454cf87809f

Observation a10d71e7-19b8-4216-a00f-5407fb55c42b · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 56

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no resolver link, observed 2026-08-02T13:36:59.534362Z

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source=arxiv_source observed=2026-08-02T13:36:59.534362Z digest=sha256:1dbe94a1645af68c790c206cce844605c9f176ec774f8ce902e394cda5f98216

Observation a478a498-2d26-4aab-bd95-eaf5334de420 · outbound

This paper cites Agent57: Outperforming the Atari Human Benchmark.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Agent57: Outperforming the Atari Human Benchmark

Reference 57

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source=arxiv_source observed=2026-08-02T13:36:59.557476Z digest=sha256:07bd2ee8c0e9d79863f46dad04dc8da3509a30825c7bd53bda8299c48f22efae

Observation 2817e4b8-a406-477f-9129-78dd704a3e06 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 58

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source=arxiv_source observed=2026-08-02T13:36:59.611815Z digest=sha256:ccd8bb4a02e069d17db167e08c995e5b69812a28f7c466280e1da0117168fa19

Observation 77d2788d-1def-4405-b4d0-0e2af5fce6cc · outbound

This paper cites Deep reinforcement learning from human preferences.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Deep reinforcement learning from human preferences

Reference 59

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source=arxiv_source observed=2026-08-02T13:36:59.762572Z digest=sha256:f08373786abd070110a4a0942aba748a0e5c3cf88969fe27db3144cad73f3af4

Observation 79274687-56de-4b8a-9dc9-c63406e6cdfd · outbound

This paper cites Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers

Reference 60

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source=arxiv_source observed=2026-08-02T13:36:59.917589Z digest=sha256:f81d33f0b5c593548f979a1505ab560864862d333b4dfd18a31e50cfb31d29e6

Observation 59c721da-d21b-421e-9fc4-4e845d9d5a5b · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Flamingo: a Visual Language Model for Few-Shot Learning

Reference 61

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source=arxiv_source observed=2026-08-02T13:37:00.027362Z digest=sha256:34a095e540c981eb15b050b3654ab0344700ca9d45348ae20d95e888b6f3ea5b

Observation dae08bfb-ab49-4177-b12c-1d65d6e46998 · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 62

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source=arxiv_source observed=2026-08-02T13:37:00.195526Z digest=sha256:9d1c110453953913b8cd7f8be087c4f6cdf82518b67c4da44e67c7eb0f69e2e5

Observation c57a2b03-4a82-42b0-80e7-3bdddc4d8c66 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 63

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source=arxiv_source observed=2026-08-02T13:37:00.325567Z digest=sha256:72f7afd3aad25730a83636a0f48b82e5d8687d4ac0e205dab3f28eeffc03264e

Observation 644ae53b-c429-4ec6-a254-36da05445178 · outbound

This paper cites Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability

Reference 64

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source=arxiv_source observed=2026-08-02T13:37:00.486740Z digest=sha256:e02a0d25ca14acdc83b105c951256ae0360b32f53a0d7437b29795e1dbe5aaac

Observation 163732c0-7845-4fe9-8db5-0f2350bf1679 · outbound

This paper cites From Sparse to Soft Mixtures of Experts.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text From Sparse to Soft Mixtures of Experts

Reference 65

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source=arxiv_source observed=2026-08-02T13:37:00.571260Z digest=sha256:46baad6d8b25d485525fdee3dda19309db4befe5fbe71f4e5e6632127ea9363c

Observation 663deceb-ceae-4f6a-aeea-1634256bdcca · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-08-02T13:37:00.731463Z digest=sha256:246807f009ccdd730620ea3abccf95b0245bfcfa0203421b395bf73a1e2fc59c

Observation f58f6ccd-68e2-4940-8ef0-eb8c179a6428 · outbound

This paper cites , year =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text , year =

Reference 67

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source=arxiv_source observed=2026-08-02T13:37:00.759564Z digest=sha256:f8f5a9c3e7524ea8250683f1c8335bf26ea8402f3cf83a2a1cc87b38aa9a1551

Observation dfc6ef56-ba41-4d58-9004-6002326e22fc · outbound

This paper cites Dynamic programming , isbn =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Dynamic programming , isbn =

Reference 68

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source=arxiv_source observed=2026-08-02T13:37:00.767400Z digest=sha256:6e3bacdf4e525933b496b2b4d9c6ea73fdb7738280f33cafc50a777f55763305

Observation 28728bf6-ac0a-442e-a827-a0274850808b · outbound

This paper cites Offline Reinforcement Learning as One Big Sequence Modeling Problem.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 69

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source=arxiv_source observed=2026-08-02T13:37:00.788718Z digest=sha256:5782b1c02b914b4ffe217d21ebd081f1f51bcfeec215eb4a23a1e846a7114d4f

Observation 80964459-bdc8-4238-9021-d83ce525b5be · outbound

This paper cites MuZero with Self-competition for Rate Control in VP9 Video Compression.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text MuZero with Self-competition for Rate Control in VP9 Video Compression

Reference 70

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source=arxiv_source observed=2026-08-02T13:37:00.877706Z digest=sha256:d4631f3b4ce9c274d4b912cd8d46419668e91ff30573da1848901994dda67476

Observation fc56ee51-33c8-434e-bbdb-c9a737141358 · outbound

This paper cites Nature , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Nature , author =

Reference 71

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source=arxiv_source observed=2026-08-02T13:37:01.029032Z digest=sha256:b1e2e05f08a62c9c35269c43e5e86a186764bfebd13e896082e73d337818d8db

Observation cdcc746c-ebde-4a4b-9772-e71ccf7c7304 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-08-02T13:37:01.178215Z digest=sha256:ce2db6b14c15d82b7674ffeb9e164be9d781b962128d7bf0fa7936ca030b6b22

Observation 84640de4-d698-442b-ae2f-456b0e68de95 · outbound

This paper cites Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability

Reference 73

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source=arxiv_source observed=2026-08-02T13:37:01.267954Z digest=sha256:cb5143f3c5c2cd4d0a9ec788c0f9f3c11332adbe0965aaae54f9e63c8a59611f

Observation 9bf0794a-3781-412e-8af4-7d8b0b980dbb · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 74

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source=arxiv_source observed=2026-08-02T13:37:01.288401Z digest=sha256:0ca16d37598b1966554be9d5e2b95c06aec0cfe20b57d51614f45e6aab7b98a1

Observation e6f0435d-5ad3-41f2-aac7-9c385d12f2d9 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Training Diffusion Models with Reinforcement Learning

Reference 75

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source=arxiv_source observed=2026-08-02T13:37:01.384986Z digest=sha256:214592206fada2e502a37c664a592f2a4b4c61bfe73e14922f9ef82690c460e9

Observation c1a1419f-e560-4d6f-9fa8-3a6de178c602 · outbound

This paper cites Training Compute-Optimal Large Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Training Compute-Optimal Large Language Models

Reference 76

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source=arxiv_source observed=2026-08-02T13:37:01.417467Z digest=sha256:1d832c0311dc70f8d334f834993bb3d52164f2b80e10e1272a9e7adff85b540a

Observation 7cf06dac-5898-4d84-8fad-7b803a8b04b9 · outbound

This paper cites Decision Transformer: Reinforcement Learning via Sequence Modeling.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Decision Transformer: Reinforcement Learning via Sequence Modeling

Reference 77

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no resolver link, observed 2026-08-02T13:37:01.465227Z

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source=arxiv_source observed=2026-08-02T13:37:01.465227Z digest=sha256:2a5c939808dc9ca23c3f123cb2d2aade7ef8a39e07193c5648c1ce118772169a

Observation bc179bd4-1801-4fbb-9b1f-74be92621e20 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 78

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no resolver link, observed 2026-08-02T13:37:01.468695Z

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source=arxiv_source observed=2026-08-02T13:37:01.468695Z digest=sha256:58ddaaefa8cc002d16c68d1cc5a5666f0da5afb642254adc4df1eca6e12ed226

Observation ca1e8a88-a45c-4fb3-82a3-279b187ce0a0 · outbound

This paper cites 2025 , file =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text 2025 , file =

Reference 79

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parse uncertain
no resolver link, observed 2026-08-02T13:37:01.471980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.471980Z digest=sha256:99128ef7a3bf0d23425e81259f5055b3471f7b7a5cfed917bb6bcc4c7140e403

Observation 21cc5d94-179f-4b81-b1f7-1073044c06c1 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 80

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no resolver link, observed 2026-08-02T13:37:01.474829Z

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source=arxiv_source observed=2026-08-02T13:37:01.474829Z digest=sha256:7ab1a20bd20144e8ef15787b9fe3e77c60146f8f84e7d82a6d94690b4d53502e

Observation 778b0642-6914-4bf5-b80d-0ffe079c4646 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 81

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no resolver link, observed 2026-08-02T13:37:01.478020Z

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source=arxiv_source observed=2026-08-02T13:37:01.478020Z digest=sha256:40868b4f49f3129b2313a266cb0decec026f58a2d7b4d7e9bc158def04c40a38

Observation b8770e4d-2695-4dbb-9145-842bc293f0e2 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Measuring Mathematical Problem Solving With the MATH Dataset

Reference 82

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no resolver link, observed 2026-08-02T13:37:01.481230Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T13:37:01.481230Z digest=sha256:a2fae48bba3df440607a1b0c83ade3ec8519ad1f55159bb7b850ab01cb3574d2

Observation 2946df72-8b05-4a3c-9969-2ed5adf7c736 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Measuring Massive Multitask Language Understanding

Reference 83

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no resolver link, observed 2026-08-02T13:37:01.483798Z

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source=arxiv_source observed=2026-08-02T13:37:01.483798Z digest=sha256:c29008525c6765731948e20ee491f92549887d68cffc31b4b326afebd6f2cd64

Observation 38c9e7c8-ae03-4cef-9111-b682a9d4100d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 84

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no resolver link, observed 2026-08-02T13:37:01.486640Z

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source=arxiv_source observed=2026-08-02T13:37:01.486640Z digest=sha256:956595745ee4cc58275ecd28fcb633f6989653929835d1f6b42d76d1a9a85f1e

Observation e7c21d92-9965-4e9c-bba6-fe3e874d63b0 · outbound

This paper cites World Wide Web , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text World Wide Web , author =

Reference 85

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verified exact
doi, observed 2026-08-02T13:38:27.968987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T13:37:01.489752Z digest=sha256:f60d410cd8bcc1d981f8defc3e7385a6fe17debb92bc53b7a93127df6c94b642

Observation 5a4eb80c-f20c-4e07-9dee-d90f21836268 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 86

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source=arxiv_source observed=2026-08-02T13:37:01.491917Z digest=sha256:694e66f28575eda3d13ebb66138699077010ffb0b70da3f35fbbaee45aef5b9b

Observation 21d1aa31-8211-4a76-906d-2c942e699d02 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 87

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doi, observed 2026-08-02T13:38:27.855546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T13:37:01.494520Z digest=sha256:bdfe82f649c54a31c365e40681247de92747f3fb4a53b481c815fc1a22be9c58

Observation 58988245-7520-4c82-99f6-48d7d92bc4c6 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 88

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no resolver link, observed 2026-08-02T13:37:01.496926Z

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source=arxiv_source observed=2026-08-02T13:37:01.496926Z digest=sha256:e4fde523c0ac10052f5963a90f72bd4382b0fb3de0622634921a53ed5a3249ab

Observation 4023864f-1605-4aac-8b24-c28730797096 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 89

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source=arxiv_source observed=2026-08-02T13:37:01.499504Z digest=sha256:41b2228b8970a425e0806b801d49bef1385a7ba5f8c2a4c90e19cd41ad951d80

Observation 190a3608-aade-4432-ba8a-f87071eefdfa · outbound

This paper cites The Journal of Physical Chemistry Letters , author =.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text The Journal of Physical Chemistry Letters , author =

Reference 90

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doi, observed 2026-08-02T13:38:27.768336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T13:37:01.501684Z digest=sha256:e1c91ea7741dfeff678975172f88d37d831727a75881e4c8c738fd02c0d3017b

Observation b6cdc227-1905-40d4-8fdd-b93fc90efaec · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 91

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no resolver link, observed 2026-08-02T13:37:01.504022Z

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source=arxiv_source observed=2026-08-02T13:37:01.504022Z digest=sha256:805e6f2a8e019070362d51f6a285205da9da233e65a6fd9ae6393bf1cfff912f

Observation 1727b78f-8066-418e-a305-af9a4a3bdae7 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 92

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doi, observed 2026-08-02T13:38:27.663436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T13:37:01.506952Z digest=sha256:8f4f60fe8a7028d932d5fc844c9cc927a50388b894bfcf353017d9108b6d46e4

Observation 0ce615c0-2e3d-4912-8fa4-80e69c5326c3 · outbound

This paper cites InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 93

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unresolved
no resolver link, observed 2026-08-02T13:37:01.509493Z

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source=arxiv_source observed=2026-08-02T13:37:01.509493Z digest=sha256:687e025d302752f5a0ab3674661db8875aa1ba4645db9552ed658ca0c1c38dac

Observation f4a88fe4-f597-4fa0-ac41-431a671942af · outbound

This paper cites Trust Region Policy Optimization.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Trust Region Policy Optimization

Reference 94

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unresolved
no resolver link, observed 2026-08-02T13:37:01.512687Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.512687Z digest=sha256:847df0b792f1662c374f8a17274f2776008169d07fab45673bb56c20c42a90c5

Observation bbebb479-e9a7-4a59-ae7d-69eebc713495 · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 95

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unresolved
no resolver link, observed 2026-08-02T13:37:01.515671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.515671Z digest=sha256:53ddc5a6f32637a2bf806689fd408544dabedaec71532fada782e57f363740bc

Observation 497c2e34-36c3-4fa8-897d-2935a505487d · outbound

This paper cites Dense Reward for Free in Reinforcement Learning from Human Feedback.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 96

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unresolved
no resolver link, observed 2026-08-02T13:37:01.518021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.518021Z digest=sha256:b29983e9a4521b7d1f99b9fb536eaf7f38c438f5bf9f0ff63ebebec5c1aae34d

Observation 0b9ab819-0083-4b9d-93a3-bc1312fd44ae · outbound

This paper cites End-to-End Ontology Learning with Large Language Models.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text End-to-End Ontology Learning with Large Language Models

Reference 97

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metadata mismatch
local_arxiv, observed 2026-08-02T13:38:27.404743Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T13:37:01.522130Z digest=sha256:39c51f71e11c2eaa60424a875e180414afe103c2bb2037ae46e3a04e38a25251

Observation e37b4af3-1ec8-45a7-bbe7-834133ae081a · outbound

This paper cites an unresolved cited work.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Unresolved cited work

Reference 98

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.525048Z digest=sha256:199453c91fbb568567f822d3d3cb7b615c19d77b0da294a8c6eb9ee784eacb17

Observation 2ebe7ade-7ee5-4056-aa40-5808f105e358 · outbound

This paper cites Proceedings of the 2022.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Proceedings of the 2022

Reference 99

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unresolved
no resolver link, observed 2026-08-02T13:37:01.527859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.527859Z digest=sha256:d5db7792fbc352e90c9f7cae5e5069356b57b4550d4d1fdfb66e756ecda8852d

Observation f7bea8ec-347b-4ebc-a9d8-4566f799227b · outbound

This paper cites Proceedings of the 62nd.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Proceedings of the 62nd

Reference 100

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verified exact
doi, observed 2026-08-02T13:38:27.304179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-02T13:37:01.530196Z digest=sha256:bb9d10399b2ef09ebe66386f61ff80e1a391a6e388e92c71eb39fc4b74c8ebc5

Pith citing papers

No inbound Pith citation observations are available.