Paper Citation Record · LEDGER

LLMs with in-context learning for Algorithmic Theoretical Physics

As of 4 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2605.08212.

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

pith.paper-citation-record.v1
2605.08212 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:00:44.364356Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:53:09.674877Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact23
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10437bb0-aa03-4d95-a651-7190cd4911c3 · outbound

This paper cites Many-Shot In-Context Learning.

LLMs with in-context learning for Algorithmic Theoretical Physics Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.802977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation af634ff1-3fdd-4e92-ae90-163e98c3dd75 · outbound

This paper cites The FERMIACC: Agents for Particle Theory.

LLMs with in-context learning for Algorithmic Theoretical Physics The FERMIACC: Agents for Particle Theory

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.787405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da454bac-d269-4b2c-b319-7c3a44c73748 · outbound

This paper cites Bergmann, P.

LLMs with in-context learning for Algorithmic Theoretical Physics Bergmann, P

Reference 3

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.921612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation edbfb47c-5ea1-4f7d-913b-a52e94d12e79 · outbound

This paper cites Breen, B., Tredici, M.

LLMs with in-context learning for Algorithmic Theoretical Physics Breen, B., Tredici, M

Reference 4

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.924578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea384aea-0bd3-4e69-a25f-aee794eea51b · outbound

This paper cites Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics.

LLMs with in-context learning for Algorithmic Theoretical Physics Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:01:07.455590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1bddc76d-225f-4f44-a3da-bc1994138b12 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

LLMs with in-context learning for Algorithmic Theoretical Physics Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:48:28.215201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5d0548bd-ebb9-4ce2-935d-6480f188c731 · outbound

This paper cites Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics.

LLMs with in-context learning for Algorithmic Theoretical Physics Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.675770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e053941-378d-4ca9-b97b-8c4b33842319 · outbound

This paper cites MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning.

LLMs with in-context learning for Algorithmic Theoretical Physics MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.782264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9f7f335-de25-4a19-aa86-4ad97be49823 · outbound

This paper cites Dong, Q., Li, L., Dai, D., Zheng, C., Ma, J., Li, R., Xia, H., Xu, J., Wu, Z., Liu, T., Chang, B., Sun, X., Li, L., and Sui, Z.

LLMs with in-context learning for Algorithmic Theoretical Physics Dong, Q., Li, L., Dai, D., Zheng, C., Ma, J., Li, R., Xia, H., Xu, J., Wu, Z., Liu, T., Chang, B., Sun, X., Li, L., and Sui, Z

Reference 9

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.945807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d189388-9502-4901-b62f-b82d04762e9f · outbound

This paper cites A Survey on In-context Learning.

LLMs with in-context learning for Algorithmic Theoretical Physics A Survey on In-context Learning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T12:58:27.573752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae1787b8-48d4-4eac-8232-9a696ecce5dd · outbound

This paper cites Context length alone hurts llm performance despite perfect retrieval.

LLMs with in-context learning for Algorithmic Theoretical Physics Context length alone hurts llm performance despite perfect retrieval

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.812714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ced872a2-64f2-4f69-a8d5-523ed66ab918 · outbound

This paper cites Physical Review Letters 85(10), 2200–2203 (2000).

LLMs with in-context learning for Algorithmic Theoretical Physics Physical Review Letters 85(10), 2200–2203 (2000)

Reference 12

Resolution: malformed identifier; doi_truncated, observed 2026-05-12T01:01:12.941820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 890d893f-4604-40d6-89d6-0f3e13727fa2 · outbound

This paper cites PAL: Program-aided Language Models.

LLMs with in-context learning for Algorithmic Theoretical Physics PAL: Program-aided Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.776600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4226ff4f-5a5d-4a79-9e1a-e522b62ec24f · outbound

This paper cites Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset.

LLMs with in-context learning for Algorithmic Theoretical Physics Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.687731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7110ee5-3f2d-445f-a610-80e127dba666 · outbound

This paper cites ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

LLMs with in-context learning for Algorithmic Theoretical Physics ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:19:36.299641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 34301c8f-34d2-432d-b036-f834a3493d9e · outbound

This paper cites Huang, X., Zhang, L.

LLMs with in-context learning for Algorithmic Theoretical Physics Huang, X., Zhang, L

Reference 16

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.933467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8647e7b-43ac-4855-b118-734e16bc18d0 · outbound

This paper cites Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning.

LLMs with in-context learning for Algorithmic Theoretical Physics Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.727713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a021ed3d-0421-4ce4-9271-98dc6d9bae17 · outbound

This paper cites Kodama, H.

LLMs with in-context learning for Algorithmic Theoretical Physics Kodama, H

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.706136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41138652-08ad-4b6d-b711-8e244ade8bc7 · outbound

This paper cites Li, T., Zhang, G., Do, Q.

LLMs with in-context learning for Algorithmic Theoretical Physics Li, T., Zhang, G., Do, Q

Reference 19

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.937988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bcd77922-cffc-40a0-bdbe-d4b632738933 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

LLMs with in-context learning for Algorithmic Theoretical Physics Long-context LLMs Struggle with Long In-context Learning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.694030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e7791c2-bcc9-4c02-9bcf-49228c48302b · outbound

This paper cites What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis.

LLMs with in-context learning for Algorithmic Theoretical Physics What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.717225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69ea2e12-75b3-4448-84cc-9f9b7703602c · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

LLMs with in-context learning for Algorithmic Theoretical Physics Lost in the Middle: How Language Models Use Long Contexts

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T08:31:25.797181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8de7f03-e80d-4879-a58b-9fbcf75aa001 · outbound

This paper cites arXiv preprint arXiv:2506.06214 , year=.

LLMs with in-context learning for Algorithmic Theoretical Physics arXiv preprint arXiv:2506.06214 , year=

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.681851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5551a47-5e5d-47c1-a3b5-a7c18f2cb347 · outbound

This paper cites org/abs/2512.20745.

LLMs with in-context learning for Algorithmic Theoretical Physics org/abs/2512.20745

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.711864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b7d9a33-2ca6-4dec-affc-8840f9a17bd1 · outbound

This paper cites Mukhanov, V.

LLMs with in-context learning for Algorithmic Theoretical Physics Mukhanov, V

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.700266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9773a866-b5c1-49fa-9c36-302daa77400d · outbound

This paper cites Theory of cosmological perturba- tions. Part 1. Classical perturbations. Part 2. Quantum theory of perturbations. Part 3. Extensions.

LLMs with in-context learning for Algorithmic Theoretical Physics Theory of cosmological perturba- tions. Part 1. Classical perturbations. Part 2. Quantum theory of perturbations. Part 3. Extensions

Reference 26

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.949941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e13fd36-c2f1-4ace-885c-82c42ee2591c · outbound

This paper cites org/abs/2510.25975.

LLMs with in-context learning for Algorithmic Theoretical Physics org/abs/2510.25975

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.732792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb193436-f0dd-45ae-9b97-7cb470b9c74b · outbound

This paper cites Sasaki, M.

LLMs with in-context learning for Algorithmic Theoretical Physics Sasaki, M

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.767762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bce6740b-5f0d-479a-b50d-23fb841b89d5 · outbound

This paper cites Starobinsky, A.

LLMs with in-context learning for Algorithmic Theoretical Physics Starobinsky, A

Reference 29

Resolution: verified exact; doi, observed 2026-05-12T01:01:12.953309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0dc19cd2-3ee7-4b38-a771-c547a0325ee2 · outbound

This paper cites A Neuro-Symbolic Approach for Reliable Proof Generation with LLMs: A Case Study in Euclidean Geometry.

LLMs with in-context learning for Algorithmic Theoretical Physics A Neuro-Symbolic Approach for Reliable Proof Generation with LLMs: A Case Study in Euclidean Geometry

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T08:31:25.744878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c77c8d2-6f57-492e-a963-4971cf757250 · outbound

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

LLMs with in-context learning for Algorithmic Theoretical Physics Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T08:31:25.722428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b7624d3-ec25-4688-9582-fd948de114ee · outbound

This paper cites Learning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval.

LLMs with in-context learning for Algorithmic Theoretical Physics Learning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.807675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e4bb08d-9c60-499f-81d6-11c512c41dce · outbound

This paper cites On Many-Shot In-Context Learning for Long-Context Evaluation.

LLMs with in-context learning for Algorithmic Theoretical Physics On Many-Shot In-Context Learning for Long-Context Evaluation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.792459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation f67ca426-8d73-4e66-92aa-bdf9f4197d92 · inbound

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review cites this paper.

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review LLMs with in-context learning for Algorithmic Theoretical Physics

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T01:53:09.674877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd049ff8-eac7-4e47-aebd-5b707d369f73 · inbound

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation cites this paper.

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation LLMs with in-context learning for Algorithmic Theoretical Physics

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:18:21.119249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.