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Paper Citation Record · LEDGER

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.02573.

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

pith.paper-citation-record.v1
2502.02573 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:45:34.995069Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c44db305-bb86-4843-8b9a-7c54b071dc25 · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.243676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9ac4ae8b-154f-4453-95af-249cc14a46c7 · outbound

This paper cites to evaluate the function.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement to evaluate the function

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.233911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.931435Z digest=sha256:43c25691a043b6bd147ae7dd6199c2c9a1265359500d3ba4eaf68efcac7faa42

Observation 6e8075ce-07c3-4cc2-9f1c-8463e77001b0 · outbound

This paper cites at your chosen points, adjust your strategy based on this feedback.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement at your chosen points, adjust your strategy based on this feedback

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.223751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.934810Z digest=sha256:12c35d67c227e506c4867d46f335ee212e125a8b8bd1e80b119e45f09fd10e4a

Observation 12284059-6bf3-4665-b034-974214082af6 · outbound

This paper cites Note: Finding a value in the range of [0.95 × (Global Max ), Global Max ] is equal to solving the problem.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Note: Finding a value in the range of [0.95 × (Global Max ), Global Max ] is equal to solving the problem

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.213835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.938764Z digest=sha256:9f313dbae28676c84bc646dede175a261b4488537a4b27ee34472cf4eaff3665

Observation cab29a20-0efe-4424-b0a2-d85789ac88c2 · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.124370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.969385Z digest=sha256:c98cf9d1cffd126f7814b5d5606c8abf6a4c1c7b9cb928be6f2f2e57cba7893c

Observation ea4ee967-0727-4b00-9fa7-2a7308203f5e · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.204249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.942439Z digest=sha256:f4acaf9d1ba65a0804c54dd247589d5dcafa4252db8d846ad2bf025e90d666a3

Observation 57b14f79-0776-4cc5-bf5a-9059d91f3b6c · outbound

This paper cites ] for function evaluation, based on its strategy.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement ] for function evaluation, based on its strategy

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.195643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.946048Z digest=sha256:de7049f78af9b2e41c91a42b52b7ff7ea804163353c8dee2fa71491016f7dbea

Observation 9d1e602a-bbb5-42d4-91e6-1a09c6799a3f · outbound

This paper cites ] at the agent’s selected points are revealed, the agent can refine its strategy using this feedback.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement ] at the agent’s selected points are revealed, the agent can refine its strategy using this feedback

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.186277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.949595Z digest=sha256:dbba8b003af5c5a618ae4a3e5188cba3ff963f37ddb462758ca736a67013bee0

Observation 8fd01b2b-baea-4cf5-a3f9-a24b690fdf00 · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.176954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.952881Z digest=sha256:07d9fba5d0b11718040d53d8c25cba0dc52625886ab9a4b03217eed983078f3e

Observation 60f8aee4-7b2b-4529-a9bb-1dc7c15c96fb · outbound

This paper cites It is essential that you offer constructive criticism to improve its next moves.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement It is essential that you offer constructive criticism to improve its next moves

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.166757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.956056Z digest=sha256:ed21ef11824eed732b94a425cfac96f7550398670eb876340f8c0f22a4367212

Observation af7c0fda-bf7a-4c82-baa4-413b37d8af1f · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.155839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.959312Z digest=sha256:9fe847b439ab762f361c524bef423859c4041fda826810798da5f084675e6891

Observation 0357db5b-c144-4bd8-9142-5878051af304 · outbound

This paper cites Remember that the agent is very smart, so do not describe what the agent has already chosen or done! Limit your responses to constructive criticism.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Remember that the agent is very smart, so do not describe what the agent has already chosen or done! Limit your responses to constructive criticism

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.145334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.962934Z digest=sha256:bb052f6e5c7939243e7ab3787aeae23bebead097ab4892b72372556881b5ac01

Observation dea335b4-c0aa-46b0-a8d9-9fec74d89b7d · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.134540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.966233Z digest=sha256:e9575bb8044bc6df05251db6fa29e704d9fffca7545db23a3897fd353d3f53c0

Observation 754e3775-dc3b-4a1f-8c7d-55156356aec3 · outbound

This paper cites using divide-and-conquer with small number of total parts.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement using divide-and-conquer with small number of total parts

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.113929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.972355Z digest=sha256:603de62aa847accf3df2a744c441f7aaceafe87b9b5ad548da20e38a6932239e

Observation 73dde134-d5d6-452e-bf61-768bd77eb10b · outbound

This paper cites The agent should consider applying a finer grid or other search techniques in regions around the highest values found.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement The agent should consider applying a finer grid or other search techniques in regions around the highest values found

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.102197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.975854Z digest=sha256:8e77ac89b1da117af19e8851b3b5167fda2cc90c2f837f76bce19a84fad8a2e6

Observation 8898ab91-de43-4a63-a87d-efb7193669cb · outbound

This paper cites Given the highest values observed, it might be beneficial to start incorporating these techniques, especially around the peaks identified.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Given the highest values observed, it might be beneficial to start incorporating these techniques, especially around the peaks identified

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.090183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.978998Z digest=sha256:34717fbcfeaf1a9792bfc375306478d43eac170f07bb3a72855bb139750ac71b

Observation c9917756-a796-4a84-a981-11e3269d54ba · outbound

This paper cites Exploitation : The agent should balance between exploring unvisited areas and exploiting areas where high values have been found.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Exploitation : The agent should balance between exploring unvisited areas and exploiting areas where high values have been found

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.078655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.982175Z digest=sha256:c522f1d97a910d1072a4dc8bce738cac4d29f216e663874ae50fceaefd1f385e

Observation 09f14fe9-0f06-4ddf-8497-5547c68ed0fe · outbound

This paper cites an unresolved cited work.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:45:35.067009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.985415Z digest=sha256:6add1f3198521c5089e17f687070a98bcee0aaf56368c57003c4474c909683e7

Observation 95c1f974-f875-4020-b763-44c1b6388a39 · outbound

This paper cites This is critical to avoid missing out on potentially higher peaks in unexplored areas.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement This is critical to avoid missing out on potentially higher peaks in unexplored areas

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.057524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.988505Z digest=sha256:e50f156290322a6e09d7a099683a87e9577bc3492826c89cba8db35d7166e74a

Observation e998e29c-33ec-456f-9ebb-9cf10f1cd1fe · outbound

This paper cites However, the agent should also be cautious not to concentrate too heavily in these areas at the expense of broader exploration.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement However, the agent should also be cautious not to concentrate too heavily in these areas at the expense of broader exploration

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.047753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.991853Z digest=sha256:3713a768f337cdc318014ee2b85b8851730e34fa3ee6dd7b350066c9031379ef

Observation 845c9345-9873-4822-8812-36e567d017fa · outbound

This paper cites The agent should consider additional strategies to test the surrounding areas more thoroughly to confirm whether these peaks are indeed the highest points in the landscape.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement The agent should consider additional strategies to test the surrounding areas more thoroughly to confirm whether these peaks are indeed the highest points in the landscape

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:45:35.037307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T11:45:34.995069Z digest=sha256:10f29ee9901d6e2300f959cd9fd1efb773c46b245876b51de83fe9d51e094454

Observation 25d1436f-46b7-4b85-bfb5-663a6f64163e · outbound

This paper cites Active Prompting with Chain-of-Thought for Large Language Models.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Active Prompting with Chain-of-Thought for Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T11:45:34.922515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.