Paper Citation Record · LEDGER

Adapting Large Language Models to Domains via Reading Comprehension

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2309.09530.

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

pith.paper-citation-record.v1
2309.09530 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:59:52.170050Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T07:55:31.038358Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3a768c44-459e-44ac-b5f3-ef59d77b3083 · inbound

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training cites this paper.

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training Adapting Large Language Models to Domains via Reading Comprehension

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:59:52.170050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a392d9-ebe4-477f-bdee-a022b706feee · inbound

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation cites this paper.

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation Adapting Large Language Models to Domains via Reading Comprehension

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:42:56.552847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c5e68e6-7a81-491a-8e42-5a2c6619bb03 · inbound

LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models cites this paper.

LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models Adapting Large Language Models to Domains via Reading Comprehension

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:16:25.969941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57c2eba4-fd20-4ae9-82eb-1289e22ab8a6 · inbound

FoodCHA: Multi-Modal LLM Agent for Fine-Grained Food Analysis cites this paper.

FoodCHA: Multi-Modal LLM Agent for Fine-Grained Food Analysis Adapting Large Language Models to Domains via Reading Comprehension

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:21:09.426500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4434a2d4-5636-45c4-ad09-7b0a92869e56 · inbound

StakeBench: Evaluating Language Understanding Grounded in Market Commitment cites this paper.

StakeBench: Evaluating Language Understanding Grounded in Market Commitment Adapting Large Language Models to Domains via Reading Comprehension

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T21:43:58.593751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7117178-3b1a-4c95-b591-54621d51d14f · inbound

How Post-Training Shapes Biological Reasoning Models cites this paper.

How Post-Training Shapes Biological Reasoning Models Adapting Large Language Models to Domains via Reading Comprehension

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:55:31.040486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1996220-e044-4a6c-adb0-b97ecf698fdf · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Adapting Large Language Models to Domains via Reading Comprehension

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.581739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996740e3-80fa-49f1-93f8-d5bbd0c3ed5a · inbound

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges cites this paper.

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges Adapting Large Language Models to Domains via Reading Comprehension

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T00:32:23.201233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.