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Paper Citation Record · LEDGER

Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.22296.

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

pith.paper-citation-record.v1
2410.22296 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:07:34.008243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T20:55:42.789811Z

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 471c9554-4d08-4a2b-8604-fb59da9abb99 · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-10T23:07:34.008243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:34.008243Z digest=sha256:d94d44ca5b11919ecdefa6531e5bc193afde0f729ab618fc710d2792f0257cc0

Observation bfcec33e-e2d4-4177-b44e-ca4ba28466f4 · inbound

Large Language Model is Secretly a Protein Sequence Optimizer cites this paper.

Large Language Model is Secretly a Protein Sequence Optimizer Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T20:10:52.809550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:10:52.809550Z digest=sha256:5745234c6708177f35ec59367c1dbf1d5a3ba98306adb371995835a6037108c1

Observation 97fa9e4b-61eb-4563-959a-5efe69cd76bf · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

Reference 120

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:55:42.794236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-04T20:55:41.563945Z digest=sha256:fbf28d6801f61908c5095724639cbebe70fdf38a2cb494095b5939dc0cb361a0