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Paper Citation Record · LEDGER

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2502.07527.

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

pith.paper-citation-record.v1
2502.07527 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:26:06.673151Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:44.796752Z

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 16014970-ba57-46e6-bfa1-08b18c6c560c · inbound

AlphaEvolve: A coding agent for scientific and algorithmic discovery cites this paper.

AlphaEvolve: A coding agent for scientific and algorithmic discovery Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:27:24.743201Z

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.

source=pdf_text observed=2026-05-10T21:27:23.987121Z digest=sha256:683c9312ab9aff7a34752e9496eb87f375fb2d454c0ee4399d682341292d3d14

Observation 7fef5b55-a440-4718-abd7-a577bc7e4fd6 · inbound

AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials cites this paper.

AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T11:26:06.673151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:26:06.673151Z digest=sha256:9946d0850c99629636bef12d1bf529266f95078a3e111cb329d9ed01e3f5a5fb

Observation 5c4e84de-ca79-46d3-9490-20c284b875d7 · inbound

Discovery and recovery of crystalline materials with property-conditioned transformers cites this paper.

Discovery and recovery of crystalline materials with property-conditioned transformers Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T20:04:40.398950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:04:40.398950Z digest=sha256:691bea92b158e45aa71662fabadd467543c0a7785bd5cbeb172804066d807ff6

Observation e684e095-658a-4bc6-9974-b6f2d629aa23 · inbound

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs cites this paper.

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-08-03T04:58:58.455595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:58:58.455595Z digest=sha256:e76f3d0a529e58f43e669e0d5022c0dde7996907968b8c6c8ce5d6820676bede

Observation 9a5530a2-5651-4227-a6d6-2ae7f8d09082 · inbound

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning cites this paper.

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T04:03:55.018581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:03:55.018581Z digest=sha256:d1e61939b281f10b6cc3a06ca1a6a6ac7f375d3801f122047cd1ad4ed4331725

Observation dfce56b3-4695-4049-a08f-8d423bffc532 · inbound

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design cites this paper.

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:26:27.756650Z

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.

source=pdf_text observed=2026-05-10T06:21:59.612026Z digest=sha256:03897f1a9cc23d1a053ec808900756e1d9aa8ae6c5aa01c8dcb5d423d82e7bc8

Observation 2e1604c1-eae3-4e35-be60-a57ec5243100 · inbound

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design cites this paper.

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:52:06.341605Z

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.

source=pdf_text observed=2026-05-13T01:08:11.268639Z digest=sha256:9f4a2317f23cab29502ce04848f7f0d3108df75f5bc0ad873e115b8a4bf6009b

Observation 6b329ca3-78cb-49a7-9aee-b95ae086d122 · inbound

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design cites this paper.

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:13:04.772627Z

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.

source=pdf_text observed=2026-05-14T22:11:30.437422Z digest=sha256:08b36e4435c3f54dba8e3b71bb59f3241dae1919ab95554d621aa6d7c9199858

Observation 4cdee455-2432-46b7-8512-4ddc8e045ceb · inbound

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models cites this paper.

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:48:05.876240Z

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.

source=pdf_text observed=2026-05-20T06:45:18.431102Z digest=sha256:beee398325caaa08352e801961f0ed14160098409f2339b9f08cdee665b9d3ca

Observation c7d6e097-6ddd-4223-84b0-9589a067867c · inbound

AMix-2: Establishing Protein as a Native Modality in Large Language Models cites this paper.

AMix-2: Establishing Protein as a Native Modality in Large Language Models Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T20:12:37.756932Z

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.

source=pdf_text observed=2026-06-28T20:05:06.168933Z digest=sha256:266b541d980c53731605eb3cc9dab2f286ff783ba8cea5ff932debae25f6b34c

Observation 2e523728-aaaa-4899-a4e3-5bb80eade788 · inbound

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language cites this paper.

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 137

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:19:44.798356Z

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.

source=pdf_text observed=2026-06-26T11:46:33.957076Z digest=sha256:b35820fd33c9599452547e78d7c5d2889f0017c6a66ea79309fa488afb802bd9

Observation 7b82132d-9755-4399-bc6d-f3b196d440c6 · inbound

Automated Data Readiness for Scientific AI cites this paper.

Automated Data Readiness for Scientific AI Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T07:09:04.155924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:09:04.155924Z digest=sha256:1c824883e3d116ef518a85ba51cef0383656df73d40ae6ea8203b1fbc0a442c5

Observation 87ec444c-684d-4bc2-9c2b-d4f98c062c3b · inbound

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology cites this paper.

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T06:39:26.167502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T06:39:26.167502Z digest=sha256:d2edd8b32c76b962bef968ef692a22f578b492d4b193430efd71ac2f333c5ccc

Observation 51e3f53d-d4b7-4d1f-b1d6-f6c0c3cbdeff · inbound

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology cites this paper.

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T08:00:03.739552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:00:03.739552Z digest=sha256:fa8b43d25bad9adaebed9ca842fd479f571dae7e3561ca3b950bafe247d569e0

Observation 287b58f8-9a0a-4fc9-a0c0-160744aba11b · inbound

PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects cites this paper.

PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T14:28:21.523345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:28:21.523345Z digest=sha256:6b96521cca89d5de22cce6e768bca3987a3675c38bc75752e256d9c71d294808

Observation 434f369d-a891-4fc7-a7d4-547bb033130b · inbound

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation cites this paper.

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T13:28:34.420825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:28:34.420825Z digest=sha256:fcc04df126e95fbad687e621b6a77f85a12acf7fb761abfbd1d295cd81394cae

Observation 4d57b303-ff84-4bee-8ef1-2f0d4298f87b · inbound

Monkey King Bang: A Unified Scientific Multimodal Foundation Model cites this paper.

Monkey King Bang: A Unified Scientific Multimodal Foundation Model Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T21:51:10.052501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:51:10.052501Z digest=sha256:ce94445ab2b8f92c1f2d0305dde316598db552b56b612556694c160b1355555b