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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 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.927832Z digest=sha256:2625b20ac6b72aa5b22aa539522a4f7461bf899760ca689aa3b9d831d58bfb70

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.931435Z digest=sha256:86d906963a7e642df11cfd1f8f4fd97ac56c7e91baeb85e9cce88d747989a173

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.934810Z digest=sha256:3e0f0781b5dae2fa29b01c1e601290a507f896f855664ab16d75b6ac224c7c74

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.938764Z digest=sha256:f94258d7ed5e7efa8d73b8fcc19459bab257208663ccc4431de8f864a7b8989f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.969385Z digest=sha256:0d6b6c472a19d80f03d015be9c341a56594689bde5368f39b5a9630ee41e2301

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.942439Z digest=sha256:b02e5debcdb02c8b0fdfb6fa0ecd0804d8f3f2fc857c00f271cc0f2ee1c9d8aa

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.946048Z digest=sha256:ffd682bc0dbd9243f30fb1a96c28aa5a2a74edea818e2a2baad33e20eacb9c3c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.949595Z digest=sha256:042a4f87c9bd994b4a69976ab09eb0cb164999f667e7beddf4c3edb09fb39c6f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.952881Z digest=sha256:ef4c67a9a8d5ac92f5916a9056c448feabc644c012b69006c1eeb00f2675c133

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.956056Z digest=sha256:c91d4bfca3ef93efd29b17e4d00ecfca764ab8303d8679140ebffb9c1ed026f2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.959312Z digest=sha256:a164982fecfdc5311cc767cafc348534baf0f4b90e65631adb482a7727fdb32b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.962934Z digest=sha256:09b3f99c18f23784dc2f803f2d63924a8f5ffb1e6260c526363ddfafa847c4c2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.966233Z digest=sha256:ed7e0811bb10e9c8e855c8fce3f7ce1861b1030d40a8563445ba31d4613c15e5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.972355Z digest=sha256:8f24cec9cbb8176ea604376a7dcaa3d204998a975622af07c7ed2b770f3f2ae5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.975854Z digest=sha256:62fb72c80e68c4dc72e498fa6b516a5a0f802ad3d057e9052df17adb027786ac

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.978998Z digest=sha256:718e891bbe64479fb60a478b281dd35f12f1d2145ba8916063b75a32d6135447

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.982175Z digest=sha256:e6beebc726b9390d75832dba5cbbe0bdc5fa10f7450bc300c5b1c839e1d4d205

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.985415Z digest=sha256:7ea3eaca68f9ead7d648e2182415dc954f331373ca8394e535109e569ce308c7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.988505Z digest=sha256:8249d0057872d6f0a72021944d5993644e111fae68deab1e962d67dae2fc34d7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.991853Z digest=sha256:64b352747a54158016dcdd2f15be70dbf3ab41ae66c2dbc1511d0e807ce6ab47

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T11:45:34.995069Z digest=sha256:a5dbe8e10c2f49ac487fdad8894e71639010715b9f042fd49f7e5681e13e3e93

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.

source=pdf_text observed=2026-08-09T11:45:34.922515Z digest=sha256:011ea1e251d9546d46c8a81b6dd1bfb7bdebf50f9ab3d017eeade13a0ff82103

Pith citing papers

No inbound Pith citation observations are available.