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Paper Citation Record · LEDGER

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.11363.

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

pith.paper-citation-record.v1
2408.11363 v2

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 2026-08-04T06:34:03.388597+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:03:29.013184Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f5a2811e-9ef7-43a9-a71c-541b818340ad · 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 ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:07:20.953876Z

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=2026-05-19T12:04:52.231238Z digest=sha256:d389f644f5b06f7ec3e80f6cee8f73b5cdd13c8e10bb341a84dc9102e2708db2

Observation 30071517-e2bb-492c-b88d-bc88d3c0ee72 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.245855Z

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=2026-05-22T00:37:11.945418Z digest=sha256:0bb8d277b29878f2cb8141ad067d37900fa04970e9f0ab6e2b23878963a4b8be

Observation d420f92b-8947-4418-8428-65440b800f04 · inbound

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

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:52:06.335730Z

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=sha256:65c24601b02174514931a14ea78c40ea2cf0460213a76ef6211103953ba5b92f

Observation 18e72b7a-a282-432b-8428-0db7ba98d039 · inbound

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

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:13:04.784926Z

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:b348c13bfd7beb0f2227f9787985e7f7ded9554d231796d067316eb5121f2b62

Observation 2a5f3b05-a40c-4012-b265-cabfffdf25ba · inbound

Unlocking Biological Workflows for Robust Protein-Text Question Answering: A Dual-Dimensional RAG Framework cites this paper.

Unlocking Biological Workflows for Robust Protein-Text Question Answering: A Dual-Dimensional RAG Framework ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:32:52.746160Z

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=2026-05-19T23:30:37.014162Z digest=sha256:ef4c16deb1e8d4c51868e046e484f69c69d54b82b55a48fc56dfdca1186c452f

Observation ffc2eb81-626b-4f41-8b0e-a7c932d60758 · inbound

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

ProtStructQA: A Denotation Threshold in Protein Structural Reasoning ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:32:35.076091Z

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=arxiv_source observed=2026-06-28T19:26:00.817333Z digest=sha256:940ba5b59b924762d3fc6693f83e0195a78e18c1dc95a087729e6a551b7fc929

Observation 694ce561-8c5b-41e7-a036-62441c1ec431 · 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 ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-06-27T17:31:07.537971Z

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=2026-06-27T17:22:30.784806Z digest=sha256:437629b8b890243510d978412bdd17180fde92ff9c2a4b1b15d24462c9f77fa2

Observation b1148a3f-157f-41bb-b2f1-49c961db2756 · 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 ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-02T12:03:29.013184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:03:29.013184Z digest=sha256:d7483c186aa772ab1d62afd194895d6f34f985a2b3c6c61dd9ea9c6b14dba714