Paper Citation Record · LEDGER

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.19845.

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

pith.paper-citation-record.v1
2607.19845 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:35:16.470429Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3f3952f-276e-4c20-90ed-cf0fc16ea1f9 · outbound

This paper cites Language Models are Few-Shot Learners.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Language Models are Few-Shot Learners

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.220574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfaa04a7-bc3f-4451-8012-b6ca38204940 · outbound

This paper cites Analyzing commonsense emergence in few-shot knowledge models.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Analyzing commonsense emergence in few-shot knowledge models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.314044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf07eef2-a4d9-4aee-bafb-3781a84592cd · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.377869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25012c92-962a-489c-9caf-b165c95d8b60 · outbound

This paper cites Efficient sentence segmentation using syntactic features.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Efficient sentence segmentation using syntactic features

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.454436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4255cc71-db05-464d-b43f-773fe9b6de92 · outbound

This paper cites COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.506477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baee08e0-2291-42e4-9918-71c8db077b7c · outbound

This paper cites Unifiedqa: Crossing format boundaries with a single qa system.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Unifiedqa: Crossing format boundaries with a single qa system

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.578412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929c7677-3edb-4df7-8bdc-835438ce77aa · outbound

This paper cites an unresolved cited work.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.681747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de6c091-b9db-4b90-b2aa-e5c3634a6553 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Rouge: A package for automatic evaluation of summaries

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.759373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f8c8ad7-7a2c-4d7a-afea-5c8621947e41 · outbound

This paper cites Conceptnet: A practical commonsense reasoning toolkit.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Conceptnet: A practical commonsense reasoning toolkit

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.843840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26586e1-200b-4aab-a14a-2fc32fdb6314 · outbound

This paper cites Unicorn on rainbow: A universal commonsense reasoning model on a new multitask benchmark.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Unicorn on rainbow: A universal commonsense reasoning model on a new multitask benchmark

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.884377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc215424-d4a1-4951-af89-074baf1ab85a · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:14.964984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137f3070-f0cf-4dd8-a7e7-c1eba0513528 · outbound

This paper cites Split and rephrase.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Split and rephrase

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.045490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c9b51f-d4e9-42ff-b706-6279a01ba8c3 · outbound

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

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.157642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b958031c-9746-4cae-8e0b-84682170ffae · outbound

This paper cites Smith, and Yejin Choi.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Smith, and Yejin Choi

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.234302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420c1b91-a611-4562-bbcb-81c285de59fd · outbound

This paper cites Conceptnet.Theory and Applications of Natural Language Processing., pages 121–160, 2013.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Conceptnet.Theory and Applications of Natural Language Processing., pages 121–160, 2013

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.396025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814370bc-3da4-4b64-864b-046f83c6bae2 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning UL2: Unifying Language Learning Paradigms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.542008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855d0d37-9fb5-4e28-a3de-7ca5c7d91296 · outbound

This paper cites Dibert: Dependency-injected bidirectional encoder representations from transformers.TechRxiv / preprint (dependency-injected BERT variants), 2023.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Dibert: Dependency-injected bidirectional encoder representations from transformers.TechRxiv / preprint (dependency-injected BERT variants), 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.648017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a00b5e8-3b1e-42b8-b146-45edfab5fc9f · outbound

This paper cites Kepler: A unified model for knowledge embedding and pre-trained language representation.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Kepler: A unified model for knowledge embedding and pre-trained language representation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.726090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff2603d-9154-4b28-8dec-409505ab90aa · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.794486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ffee43-212b-4796-b8bf-29447ae047ca · outbound

This paper cites Rush, and Yoon Kim Zhou.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Rush, and Yoon Kim Zhou

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.891384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be5e69c-d31f-4480-b90f-35f566ffe03d · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Finetuned Language Models Are Zero-Shot Learners

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:15.964665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c220c043-e9ae-4212-8ef7-56590c17322d · outbound

This paper cites KG-BERT: BERT for Knowledge Graph Completion.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning KG-BERT: BERT for Knowledge Graph Completion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:16.084016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a99286f-2c1f-4f36-bed8-ea932ceb693b · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning STaR: Bootstrapping Reasoning With Reasoning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:16.183416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3d988c-7041-4535-8e12-987ab9effb71 · outbound

This paper cites Auto evol-instruct: Automatic instruction evolving for large language models.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Auto evol-instruct: Automatic instruction evolving for large language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:16.257243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4512fbce-9b0b-4ef4-9a28-11b82bc5c04f · outbound

This paper cites Limit-bert: Linguistically informed multi-task bert (syntactic / semantic phrase masking).

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Limit-bert: Linguistically informed multi-task bert (syntactic / semantic phrase masking)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:16.396505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca9dd7d6-ee93-486a-8e65-333375087ba1 · outbound

This paper cites Syntactic and semantic phrase masking / semantic-role guided masking for pretraining.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Syntactic and semantic phrase masking / semantic-role guided masking for pretraining

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:16.470429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183cfc86-4ba1-4b00-b01b-46d06061d41b · outbound

This paper cites an unresolved cited work.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T11:35:16.327221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.