Paper Citation Record · LEDGER

Large Language Models for Scientific Synthesis, Inference and Explanation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.07984.

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

pith.paper-citation-record.v1
2310.07984 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:57:43.566063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:59:37.828115Z

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 b4d88272-56eb-44fa-bbc4-c6611281252b · inbound

Generative Adversarial Reviews: When LLMs Become the Critic cites this paper.

Generative Adversarial Reviews: When LLMs Become the Critic Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T19:57:43.566063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e599544c-b5d9-4238-9d83-e3ae19aba3ac · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-09T17:43:55.881130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68f32f4-ef49-447d-a1d4-07f227241db1 · inbound

Normative Conflicts and Shallow AI Alignment cites this paper.

Normative Conflicts and Shallow AI Alignment Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:54.752779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a3055c-56ba-4f85-b32c-e23f94df5936 · inbound

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review cites this paper.

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:21.291078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d207f74-ec35-4461-a7a6-39a0baf5bbb4 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 232

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T05:17:06.058960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 320b0594-c9cb-4101-9eb6-3d784beb10ea · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:37.800923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa8202c-c7a9-48e9-81a3-18df5d212006 · inbound

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations cites this paper.

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T14:45:40.717277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041077d7-362e-4d0d-b102-dc06df259a30 · inbound

Are Researchers Being Replaced by Artificial Intelligence? cites this paper.

Are Researchers Being Replaced by Artificial Intelligence? Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:13:54.363195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01081643-b918-41b6-a792-663eda34848a · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 21

Resolution: malformed identifier; arxiv_id, observed 2026-07-03T00:17:28.828701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3a839d76-7dc4-4602-98fc-c1c257d433f6 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:03:24.162673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3361fc9-d598-4fc9-874e-ff51c1fb676a · inbound

Large Language Model-Assisted Framework for BSM Model Building cites this paper.

Large Language Model-Assisted Framework for BSM Model Building Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:59:37.829730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 908b8c48-4d90-42c3-940b-f6b31c19e6ac · inbound

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs cites this paper.

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:25:50.052854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.