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Paper Citation Record · LEDGER

Relational Programming with Foundation Models

As of 23 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2412.14515.

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

pith.paper-citation-record.v1
2412.14515 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:13:21.639033Z

measured 57 of 57 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

57 of 57 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ce10464-e296-47a5-b64f-b42f2dd563f7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Relational Programming with Foundation Models , " * write output.state after.block = add.period write newline

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.355643Z digest=sha256:5a722c24c3af59adfc32be47dd4b81b2c197499b979ae503d3c1e7685819352d

Observation cc0eebda-da3f-4ddd-9b25-edd2aea768e9 · outbound

This paper cites write newline.

Relational Programming with Foundation Models write newline

Reference 2

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source=arxiv_source observed=2026-08-11T12:13:21.360474Z digest=sha256:48ada10383d901e3b919d8559e72f9df2759242d408efd366c52b38c61551c55

Observation c79d777c-9596-477e-bafb-d5339ca4ded0 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 3

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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 08497700-5624-442f-ba54-5208905eda97 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 4

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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=2026-08-11T12:13:21.367393Z digest=sha256:f5e8ff7b0530a632e380515d4394d806b05cdf4b3abc21e49af0ae20d0f80aa7

Observation 5bac6d8a-be7b-4044-9ced-3e125614416f · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 5

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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=2026-08-11T12:13:21.370767Z digest=sha256:26859c41c22a17ea3c624683bbbd928e4d81ed7db204d914c3bd0903d495ccda

Observation 08f93329-b04b-4fa9-85f0-a625b4f173f8 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Relational Programming with Foundation Models On the Opportunities and Risks of Foundation Models

Reference 6

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source=arxiv_source observed=2026-08-11T12:13:21.373876Z digest=sha256:5d1c0be5affc7d79b5258c61b669ba3cca89a27622af7edbceee845f2ef3eadf

Observation 17b58c6a-19b7-46cb-bbd7-041225f24725 · outbound

This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.

Relational Programming with Foundation Models InstructPix2Pix: Learning to Follow Image Editing Instructions

Reference 7

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source=arxiv_source observed=2026-08-11T12:13:21.378477Z digest=sha256:7210908bc5744208f6a614b9b8032303dfdf043f79360222e54f1f134afdd26b

Observation cdd4a418-f2e1-42e4-9233-786587029ab9 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Relational Programming with Foundation Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 8

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source=arxiv_source observed=2026-08-11T12:13:21.382502Z digest=sha256:d6b92e38fd652db32e72b693611804daa318442fd145eb4d0e1811f2d763ac7a

Observation 709b4c5c-38fb-4733-b762-3401970e8cdd · outbound

This paper cites W.; Zhou, D.; Song, D.; and Le, Q.

Relational Programming with Foundation Models W.; Zhou, D.; Song, D.; and Le, Q

Reference 9

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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=2026-08-11T12:13:21.386612Z digest=sha256:dbf04989ce5775b99166690d5e3bb8973d32033243e8a419637cada896f2a33c

Observation d0b6d193-ef15-4753-b488-795d27d47ca8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Relational Programming with Foundation Models Training Verifiers to Solve Math Word Problems

Reference 10

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source=arxiv_source observed=2026-08-11T12:13:21.389533Z digest=sha256:ac4af333c6d993de5635c019f79f1c7de679e708b3162568694550146f12f2f9

Observation 4b93e877-ac11-4e70-8cbb-61543273a64e · outbound

This paper cites Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems.

Relational Programming with Foundation Models Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems

Reference 11

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source=arxiv_source observed=2026-08-11T12:13:21.393829Z digest=sha256:54a38e1d89a48b21fe9430f3cbf64076616849dfadf959891309607c6defed37

Observation 5ec4143d-486b-4195-b4c9-c53a409f439c · outbound

This paper cites PAL: Program-aided Language Models.

Relational Programming with Foundation Models PAL: Program-aided Language Models

Reference 12

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source=arxiv_source observed=2026-08-11T12:13:21.397400Z digest=sha256:ef74586877e1efb7c88e52e0179cc089a0ac13665945e08515d82c937e9a74d5

Observation 28e812d9-a7f9-409e-9fad-6f9edc821321 · outbound

This paper cites Visual Programming: Compositional visual reasoning without training.

Relational Programming with Foundation Models Visual Programming: Compositional visual reasoning without training

Reference 13

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source=arxiv_source observed=2026-08-11T12:13:21.402018Z digest=sha256:ca8cec80106d494fc07c0b62549002be618b82df5fdfab048a6a13cfb025a571

Observation 0746855f-33eb-448f-830f-6387eee294e9 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Relational Programming with Foundation Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 14

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T12:13:21.406492Z digest=sha256:15f84cfc3fe54ad2f3b486296ffee6f0454c46251660146b3b260f6163fb5c3c

Observation d53c3146-8c69-41b6-85f5-3bd2afbab6fb · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 15

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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=2026-08-11T12:13:21.410842Z digest=sha256:8a5a67cba8462ca7257befb151117160fcd20d98016af04b074bf66fe4f2df50

Observation b7e567a3-46ff-4dfc-bac5-c7bad6e1c15a · outbound

This paper cites GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering.

Relational Programming with Foundation Models GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

Reference 16

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source=arxiv_source observed=2026-08-11T12:13:21.413671Z digest=sha256:d5f2ce5cc12404d624378e185b663687ba8cd4a03038f80157fbb5ac7dccf3c5

Observation be93e67d-896d-4d26-a556-1b5eb0f96548 · outbound

This paper cites CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.

Relational Programming with Foundation Models CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Reference 17

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source=arxiv_source observed=2026-08-11T12:13:21.418101Z digest=sha256:e1b11a47dce0ee606dac4521392fd24fa3181eec68611d390d67601915e31715

Observation d7ca3a37-f02d-4ec6-99e1-38073ef829e2 · outbound

This paper cites ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision.

Relational Programming with Foundation Models ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

Reference 18

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Observation 2036e379-188b-4926-96a0-c464f3d53094 · outbound

This paper cites Segment Anything.

Relational Programming with Foundation Models Segment Anything

Reference 19

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source=arxiv_source observed=2026-08-11T12:13:21.426483Z digest=sha256:4a61d21c9844a72e612a76a10e2b8dd59bc3b899f4e759bb1cfa06a6abb87297

Observation 6409240f-1afd-4d61-bde7-0c5687678646 · outbound

This paper cites S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y.

Relational Programming with Foundation Models S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T12:13:22.424504Z

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=2026-08-11T12:13:21.429894Z digest=sha256:52df47ef99713110a13ebcf138d77c874d827f57ee28b5aa96db61a55f867f38

Observation bc34e9f3-e422-4c69-b963-87f3e09ae614 · outbound

This paper cites DSFD: Dual Shot Face Detector.

Relational Programming with Foundation Models DSFD: Dual Shot Face Detector

Reference 21

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local_arxiv, observed 2026-08-11T12:13:21.898573Z

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=2026-08-11T12:13:21.435637Z digest=sha256:91a32c9b01837feae75a5b62a1dc53b01c05e455f19d4686fbfba40a862e3911

Observation c834dbe1-46a3-4d8f-8ece-5b3e76ef0821 · outbound

This paper cites N.; and Zhu, S.-C.

Relational Programming with Foundation Models N.; and Zhu, S.-C

Reference 22

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raw_fallback, observed 2026-08-11T12:13:22.380221Z

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=2026-08-11T12:13:21.442854Z digest=sha256:7eb0ba76e3a5e2ba11af2afea6f7e68fa81515a6b3d7afb8caa625c6e13aaf5b

Observation 5423c0b2-e0e4-46a8-83d5-c917321effd5 · outbound

This paper cites From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering.

Relational Programming with Foundation Models From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering

Reference 23

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local_arxiv, observed 2026-08-11T12:13:21.885060Z

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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=2026-08-11T12:13:21.451052Z digest=sha256:0d86f2a89e2e42564ad9e428269608f274c64524d97055376c1fa64bb938aa64

Observation f0e10005-0ee4-4b23-9299-513c36e75f76 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 24

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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=2026-08-11T12:13:21.461944Z digest=sha256:4ba31e2dcf87869eaa57c529ac325693780ef81913d0d98ec1e53fd0910dee05

Observation 88af961c-ff46-44d7-9106-02e501644a66 · outbound

This paper cites TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

Relational Programming with Foundation Models TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 25

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source=arxiv_source observed=2026-08-11T12:13:21.466544Z digest=sha256:9ec043f06bfd0c7830d018b1f6885e59306de103dc9b01bbf5489594f29eda33

Observation 8fb6ee43-5748-4347-934b-0184b99fb278 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Relational Programming with Foundation Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 26

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source=arxiv_source observed=2026-08-11T12:13:21.470746Z digest=sha256:b49b07410e2c98a17b37dc6e914944b8a8b50a3f9cdda12534c499614c407834

Observation 2cc8d93f-a1e4-4cea-a860-00edcdcd7325 · outbound

This paper cites Faithful Chain-of-Thought Reasoning.

Relational Programming with Foundation Models Faithful Chain-of-Thought Reasoning

Reference 27

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source=arxiv_source observed=2026-08-11T12:13:21.474093Z digest=sha256:0c04012190fe1d2d0d2ba9d4dea4ffeb5eb9765fdcc26aac00b88535086ec750

Observation d067b25a-35e6-4945-9e0e-7be5be86b9af · outbound

This paper cites DeepProbLog: Neural Probabilistic Logic Programming.

Relational Programming with Foundation Models DeepProbLog: Neural Probabilistic Logic Programming

Reference 28

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source=arxiv_source observed=2026-08-11T12:13:21.477796Z digest=sha256:2f601024cf387d26c0fea70ca2295c12faf2e67d87c5f7f8f66a584d3869e8bc

Observation f966759a-fbfe-4224-aba6-912c2650d979 · outbound

This paper cites The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

Relational Programming with Foundation Models The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Reference 29

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source=arxiv_source observed=2026-08-11T12:13:21.481602Z digest=sha256:6e35b36dbd1b9f5453ffc528e6d1e04a448ca814fec0b8abb4b99ec415e53f8b

Observation 4367ff7d-7ac0-46a7-b027-e912aa5c1843 · outbound

This paper cites Sources of Hallucination by Large Language Models on Inference Tasks.

Relational Programming with Foundation Models Sources of Hallucination by Large Language Models on Inference Tasks

Reference 30

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source=arxiv_source observed=2026-08-11T12:13:21.484582Z digest=sha256:7f24a255dee2353b7bddf01a6098e2e812ec38722c81e77ac0263e99d42a1df4

Observation c7af9a74-44ad-4fff-85d0-3dc25e574b62 · outbound

This paper cites Simple Open-Vocabulary Object Detection with Vision Transformers.

Relational Programming with Foundation Models Simple Open-Vocabulary Object Detection with Vision Transformers

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.488083Z digest=sha256:b3c414aa84be1667692bce80422169a889e7722960f780985facff645d779bdd

Observation 134bb0c7-29e0-45b6-bdda-1310e98978f1 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-11T12:13:22.292850Z

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=2026-08-11T12:13:21.492256Z digest=sha256:a6bd680bf48c5f74c8d599ab7cfc5b087587cd6856c1349e9c9c21d2c2912cb7

Observation 6c6a49de-9dca-4e7d-b5a9-6c8c636ca927 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Relational Programming with Foundation Models WebGPT: Browser-assisted question-answering with human feedback

Reference 33

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no resolver link, observed 2026-08-11T12:13:21.495507Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.495507Z digest=sha256:93a9c92f29288e81e8bfbc04c19a10c008a899f0c49c7f4d1f7ed4be87be89c2

Observation b52e6a14-2792-46ef-a395-50cad963b93e · outbound

This paper cites Passage Re-ranking with BERT.

Relational Programming with Foundation Models Passage Re-ranking with BERT

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.499709Z digest=sha256:3b74f8a7ab011a87497dac0754689b5a1024c47ad1e6a065987fd6f30c675473

Observation 0914caae-6b5a-4977-8e54-2369cfb86c1d · outbound

This paper cites GPT-4 Technical Report.

Relational Programming with Foundation Models GPT-4 Technical Report

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.503781Z digest=sha256:9123a147fb4131a51ea2fb6a17897545ce7d383f4bb7c3920d11f33316963ce4

Observation 5e03ea82-2bdd-4dd6-8769-bab7832b808d · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Relational Programming with Foundation Models Learning Transferable Visual Models From Natural Language Supervision

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.506917Z digest=sha256:b52b7ba11c80e67a4495d13f44f42d1b54fb6909f654b2f7f25522723a0807eb

Observation 172bc153-6bd5-4791-b312-8388a78ec8bb · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-11T12:13:22.244291Z

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=2026-08-11T12:13:21.510606Z digest=sha256:cdaf927e21a9f1b7c4ff88cba4cbf05df65a647d022a1b2973189965b63bbc5a

Observation 1741b791-aeeb-4082-9914-bd6893c03286 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 38

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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=2026-08-11T12:13:21.513633Z digest=sha256:82dc330f2f96dfc2989dd66c9b976e933e3f85f6ae183edc870beb8456b2954d

Observation 42b14909-3154-4ee0-976a-0651d53d4367 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-11T12:13:22.106649Z

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=2026-08-11T12:13:21.533257Z digest=sha256:a76db6b9a9cb6c8e705fffb818203d62923b2a63eaf94140d5f88923edbeeba6

Observation bcece366-1d33-4f7e-a3ef-faaf8bbb7391 · outbound

This paper cites Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

Relational Programming with Foundation Models Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.557499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.557499Z digest=sha256:814edb366ab0f4b97b95a9e9b5b88c9178feb622661de4740105c3a0fced2e8b

Observation dc5e4221-54a5-4719-a637-1414e0c0faa0 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:13:22.066829Z

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=2026-08-11T12:13:21.581269Z digest=sha256:3b321a17ddd237999c76ec60e12de6483d8b7c0a8a2117a8a81213be23894fba

Observation cb14ae2c-d526-4ef5-bfa1-0cfcaeb39b43 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:13:22.055718Z

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=2026-08-11T12:13:21.585094Z digest=sha256:d466c3f6d8e6139e960f1eaf23c96724a37c6ddd0ea0b2d8e5040197f53ae040

Observation 148500d2-75f5-4ccb-a90c-39fa97f022b3 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Relational Programming with Foundation Models Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.588772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.588772Z digest=sha256:1f235b61e39b61605694d9321d95f4f877648911070a1506b068190dec4c4592

Observation c7f542a9-6e2d-468c-9171-3ce6fbc184a2 · outbound

This paper cites CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text.

Relational Programming with Foundation Models CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.593237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.593237Z digest=sha256:eb744cdbb11bb66358a144b3b2f26125968bc4b2ee2874b65cf05fa26f20557a

Observation eda2b044-acef-4450-a236-a22d506104be · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding.

Relational Programming with Foundation Models MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.597025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.597025Z digest=sha256:df4e4e8a45e8fbb54591ea46c56a43354528cabbd93592fc0d244678689a01f6

Observation 39feccbe-0adc-43cf-ab58-bfbf00ab087e · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Relational Programming with Foundation Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.600201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.600201Z digest=sha256:39a6777686e28d43348423eb013cbdaa1e248092617ebc59144e3efc558d86df

Observation ba1785ff-41e8-4d65-8ba3-d87df5c95696 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:13:22.042518Z

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=2026-08-11T12:13:21.603727Z digest=sha256:f605b55e9212c8abeae8f8a0861f15ef5275eb915982210d4c2a754f513ec887

Observation 36692e5f-11b3-4a7b-bf2e-3738f3c632cc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Relational Programming with Foundation Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.607916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.607916Z digest=sha256:810cc9593c196537d205ff3edf39cc609e434090a3ba062cd0dd7161cdc8c344

Observation 4b87f03b-a405-4bae-9f3a-e048d9734c2f · outbound

This paper cites L.; Wilder, B.; and Kolter, Z.

Relational Programming with Foundation Models L.; Wilder, B.; and Kolter, Z

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:13:22.030106Z

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=2026-08-11T12:13:21.612473Z digest=sha256:325b4ff72382f1b235a7c16f3186f431ce51c11f9799bcf1519a525e97b9465b

Observation c194d445-f459-46d8-85a2-d53a94d9ae59 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Relational Programming with Foundation Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.615946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.615946Z digest=sha256:1d3802933c1ad36a9ca09a9dbd9a35078014b49c7e8b485463cc8db2c357f44a

Observation c7244a59-e7b2-4711-a202-0bd804b6d27e · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Relational Programming with Foundation Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.620307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.620307Z digest=sha256:a101471a6ebfd4a944787875d2f9187faf96ec0657073c7b0b39a6ca1c1cf467

Observation d09b7782-95d8-4ee5-bf59-b151972182b9 · outbound

This paper cites S.; Wong, Y.; Kankanhalli, M.; and Shah, M.

Relational Programming with Foundation Models S.; Wong, Y.; Kankanhalli, M.; and Shah, M

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:13:22.018678Z

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=2026-08-11T12:13:21.623267Z digest=sha256:e22cc569350b82cf97f548980fc8f9174c0aca20e7bb6967648be0b77b78d766

Observation ef997bb0-abd5-468e-afa0-558849bbcb86 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Relational Programming with Foundation Models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.626991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.626991Z digest=sha256:5ddbb32078859542adb79381e3a6c50b8701ff5398426cdd08e22fa24219d603

Observation d8849403-63f6-48be-bf73-4d0990b96446 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Relational Programming with Foundation Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.630337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.630337Z digest=sha256:9d01052ca2d319703df5730e6ddd6c557546234cef35e4f6eaa68212d5231364

Observation d6a853d7-af05-4220-8bcd-f979075c73d6 · outbound

This paper cites an unresolved cited work.

Relational Programming with Foundation Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:13:22.007764Z

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=2026-08-11T12:13:21.633439Z digest=sha256:c80bf061733eefa6ddd3f540b7b3a91621f221944985ac0b1476bbd11180a6ae

Observation 1c75e611-0cc1-4caf-988e-b179392c3feb · outbound

This paper cites Rethinking Label Smoothing on Multi-hop Question Answering.

Relational Programming with Foundation Models Rethinking Label Smoothing on Multi-hop Question Answering

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:13:21.677079Z

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=2026-08-11T12:13:21.636196Z digest=sha256:871a6a09131c9d35e7e7e8abcef155764620856afca510d080389b638bf7c0e4

Observation 74c48a4d-dcd7-413f-a54f-96cb5201f698 · outbound

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

Relational Programming with Foundation Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T12:13:21.639033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.639033Z digest=sha256:964383ceeb42607b2d0c319cd21dd2bb95c278b592190cd746d4e0a9a959160b

Pith citing papers

No inbound Pith citation observations are available.