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Paper Citation Record · LEDGER

ProtChatGPT: Towards Understanding Proteins with Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.09649.

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

pith.paper-citation-record.v1
2402.09649 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:49:54.474830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:35.079980Z

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 699d5fb8-4d06-4703-92a0-18020799330a · inbound

EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal Structure and Sequence Representations cites this paper.

EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal Structure and Sequence Representations ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:54.474830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:54.474830Z digest=sha256:ee1a312eb98e41282fc42b1d8a9e02c5f2e26a9320ba97c595186aeb2613304d

Observation 24efa592-9b6c-4b4e-8ac6-8affe98f5d2e · inbound

Computational Protein Science in the Era of Large Language Models (LLMs) cites this paper.

Computational Protein Science in the Era of Large Language Models (LLMs) ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T19:19:27.788057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:19:27.788057Z digest=sha256:7e136e0b3654f56018bae7747a524407839301aedeb2bdaf37303860f08cd2b9

Observation fb677ba9-ae9c-42b3-9b21-79d1c0ef2116 · inbound

Controllable Protein Sequence Generation with LLM Preference Optimization cites this paper.

Controllable Protein Sequence Generation with LLM Preference Optimization ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T14:46:51.839938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:46:51.839938Z digest=sha256:f4d3fc10476dace494f792214af7b49eb3619840d4ee94dc80baa85b6a86b551

Observation 23c6492c-8145-4615-bef1-ec9a78220976 · inbound

Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure cites this paper.

Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T22:00:02.179368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:00:02.179368Z digest=sha256:eda610b56b2691ffc89df8a76ee5494ae3c7711d664f61d24a874c1aaff3f096

Observation 89b5a982-1da6-4474-8331-ccf74fe1bd99 · inbound

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery cites this paper.

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T12:31:52.014784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:31:52.014784Z digest=sha256:11e5818d8d700a0938a20c5e2bf2325cacb7fca7f19b8e0d1f9614954469d9c6

Observation c900b4a0-cec2-471a-b692-e3a249d03686 · inbound

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding cites this paper.

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:07:20.949373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T12:04:52.231238Z digest=sha256:748e9c0d61d8058c88bfb0728a07ec0926c992fe141da61f7629d0700de07966

Observation c43e7de3-3506-4731-b4be-c25d04985448 · inbound

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances cites this paper.

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T23:59:56.735847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:59:56.735847Z digest=sha256:207a56a011f224354bf3f93019ddfa82a98b20d0efa13d1d934da2b534b246e8

Observation 1b90b357-9680-436b-a7c2-e0207ea23d92 · inbound

Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery cites this paper.

Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:10:55.978714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T02:10:15.644360Z digest=sha256:cf9124d56b25caad76a3294b84668c225804a42758d48c920d59f5bde880a29c

Observation 4bbb2143-6120-4279-9715-b3ffcfb55c30 · inbound

ProtStructQA: A Denotation Threshold in Protein Structural Reasoning cites this paper.

ProtStructQA: A Denotation Threshold in Protein Structural Reasoning ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:32:35.081609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T19:26:00.817333Z digest=sha256:6e417b53afe1dbb882bff0200ea604290728fdae82b3efeb65333cbe0c53125d