Paper Citation Record · LEDGER

Improving Language Models with Intentional Analysis

As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2502.04689.

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

pith.paper-citation-record.v1
2502.04689 v4

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T03:44:33.625252Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:32:10.185386Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact3
verified fuzzy2
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bc65a0b-1f8d-4506-80dd-858b48a004c0 · outbound

This paper cites an unresolved cited work.

Improving Language Models with Intentional Analysis Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-23T03:45:22.106986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d6c3615-6781-49e9-81f3-6bb7e7317426 · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

Improving Language Models with Intentional Analysis Universal Self-Consistency for Large Language Model Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:45:21.606692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04bc1248-18e0-459d-bba0-7e42240fd3ff · outbound

This paper cites The Llama 3 Herd of Models.

Improving Language Models with Intentional Analysis The Llama 3 Herd of Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:45:21.583633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2f97b4a9-2d70-4e09-8a11-3d0d9e19b7cc · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

Improving Language Models with Intentional Analysis rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:45:21.598416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0060660f-055c-4f78-97b3-65748da08df3 · outbound

This paper cites DeepSeek-V3 Technical Report.

Improving Language Models with Intentional Analysis DeepSeek-V3 Technical Report

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:45:21.601506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f978fca-f8ce-4f7e-ac5d-d7521ac26944 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Improving Language Models with Intentional Analysis The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:45:21.588280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ffb63cd9-fb7c-45d8-a8e1-b2ea3b724130 · outbound

This paper cites In Proceedings of the 62nd An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9090– 9101, Bangkok, Thailand.

Improving Language Models with Intentional Analysis In Proceedings of the 62nd An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9090– 9101, Bangkok, Thailand

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:45:22.116130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6010cdec-5ba7-4a0b-aa36-3d08c0b7288f · outbound

This paper cites In Thirty-seventh Conference on Neural Information Processing Sys- tems.

Improving Language Models with Intentional Analysis In Thirty-seventh Conference on Neural Information Processing Sys- tems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:45:22.112997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fabd3c99-be83-4387-970c-2a116c18678e · outbound

This paper cites an unresolved cited work.

Improving Language Models with Intentional Analysis Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-23T03:45:22.109940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 078bfcb9-48cf-40d0-b624-978a13d622a2 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Improving Language Models with Intentional Analysis A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:45:21.609124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76cbeca9-de21-4c55-b11a-1e29a2f0cea1 · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

Improving Language Models with Intentional Analysis Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:45:21.613567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4544494-7741-4a97-8191-4c70ea98195f · outbound

This paper cites an unresolved cited work.

Improving Language Models with Intentional Analysis Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-23T03:45:22.119569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ce966995-71c8-4d0d-94fc-685d2ab81411 · outbound

This paper cites SWI: Speaking with Intent in Large Language Models.

Improving Language Models with Intentional Analysis SWI: Speaking with Intent in Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:45:21.603443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 1526ba0c-554f-4314-9575-8d496f3a4ef8 · inbound

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts cites this paper.

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts Improving Language Models with Intentional Analysis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T01:09:27.619062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47113166-9420-402d-b71b-f8feee7633c3 · inbound

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts cites this paper.

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts Improving Language Models with Intentional Analysis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T07:32:10.185386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.