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Paper Citation Record · LEDGER

ProGen2: Exploring the Boundaries of Protein Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2206.13517.

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

pith.paper-citation-record.v1
2206.13517 v1

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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:50:55.826745Z

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

50
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 dfda6413-2eb1-4b10-8733-005caced3de3 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science ProGen2: Exploring the Boundaries of Protein Language Models

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:53:21.981025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:7ac504a9d9c1e976f60f813620c142a791c73a9e6bd81e646907c1f63bc98a78

Observation 94877d88-0dd2-42d0-a85c-1ac316ea6e43 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science ProGen2: Exploring the Boundaries of Protein Language Models

Reference 218

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:53:22.226148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:6837fad3a1438c9be5d20ec9ebc9cf149ca369d34670d00130f9bcf62359f0f6

Observation 72e9730c-7e4b-4a18-8195-ac9d3ed5f31e · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance ProGen2: Exploring the Boundaries of Protein Language Models

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.499742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:afa102a97ef26ac6a2aa59086bd00a482b4523f430503c810cc40817c266a99d

Observation ac041e50-9017-4c6a-8fa1-d6fdd5c3233f · inbound

Conditionally Site-Independent Neural Evolution of Antibody Sequences cites this paper.

Conditionally Site-Independent Neural Evolution of Antibody Sequences ProGen2: Exploring the Boundaries of Protein Language Models

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-02T21:50:55.826745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:50:55.826745Z digest=sha256:7ad44a7439cfddc4bd6708b5b88631659f2abb04873d4cdb2568b2384794661d

Observation 46f3b2d6-5b51-4730-a09d-a35bf647fc58 · inbound

Towards A Generative Protein Evolution Machine with DPLM-Evo cites this paper.

Towards A Generative Protein Evolution Machine with DPLM-Evo ProGen2: Exploring the Boundaries of Protein Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:51:09.725393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T20:56:03.313778Z digest=sha256:64cd96806894d6f10e50d5ea1beea3ced23d83ab77495b16fe221940bba80ce3

Observation 1275c9a0-7ab5-4188-abeb-c806337415c3 · inbound

Towards A Generative Protein Evolution Machine with DPLM-Evo cites this paper.

Towards A Generative Protein Evolution Machine with DPLM-Evo ProGen2: Exploring the Boundaries of Protein Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:28.767683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:04:50.833844Z digest=sha256:be1c15fada1a69d87177afb765bbf6fb1ac295393ea300cbdb5cf284a29beb2b

Observation 5a5dde1e-955f-4653-981d-0815b11f57a8 · inbound

Towards A Generative Protein Evolution Machine with DPLM-Evo cites this paper.

Towards A Generative Protein Evolution Machine with DPLM-Evo ProGen2: Exploring the Boundaries of Protein Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:05:30.804014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T08:05:13.513473Z digest=sha256:f9258c28024d5095dcd7855134564adaedcba3e37a0c6094a859b1509bd8a9b8

Observation 58747968-1a08-4875-b3f9-5abae1ee1007 · inbound

ProteinJEPA: Latent prediction complements protein language models cites this paper.

ProteinJEPA: Latent prediction complements protein language models ProGen2: Exploring the Boundaries of Protein Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:45:54.539184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T02:43:17.116354Z digest=sha256:f2568dc8577d934a393c74ee0ea93e9460ce0c6513d7be0084dfab7e0e19625b