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Paper Citation Record · LEDGER

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.08109.

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

pith.paper-citation-record.v1
2507.08109 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:06.249505Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

40 of 40 outbound references displayed

  • verified exact4
  • verified fuzzy14
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efec2f1a-c4ba-4092-8bc5-9fe1dd2605c8 · outbound

This paper cites LLMs in Finance: Applications, Examples, & Benefits , May 2025.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing LLMs in Finance: Applications, Examples, & Benefits , May 2025

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.531614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:02.482817Z digest=sha256:27f909933543d9b35fa2e12010674f6b9b77bc8887b412f139fb3c0957a1edc7

Observation fca027b3-4b2b-4c1e-b508-0872f49fd0a2 · outbound

This paper cites Large language models in real-world clinical workflows: A systematic review of applications and implementation.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Large language models in real-world clinical workflows: A systematic review of applications and implementation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.477029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:02.554768Z digest=sha256:139e52e30e474bdf5211da0fa5ff3f89dafe93f033b274afe5e315c252d5d2f4

Observation 149abffe-bc76-42d9-a427-5109dd22aef6 · outbound

This paper cites Benchmarking llms for real-world applications: From numerical metrics to contextual and qualitative evaluation.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Benchmarking llms for real-world applications: From numerical metrics to contextual and qualitative evaluation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.383956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:02.642739Z digest=sha256:dce1c42be8c3aeb32b4f7da93bf3dd1417744190af9448173820d7d76bc2a023

Observation 707cc58d-a58f-4910-b193-4c321bc39e7f · outbound

This paper cites The nonstochastic multiarmed bandit problem.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing The nonstochastic multiarmed bandit problem

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:02.701513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:02.701513Z digest=sha256:93a99176fb7683754ede69c951839973be7c762ecfaa1517c0b78f515ba1d1f7

Observation 38b8d123-c83c-4c78-9f6f-83e94ecc9923 · outbound

This paper cites rapidfuzz/rapidfuzz: Release 3.13.0, 2025.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing rapidfuzz/rapidfuzz: Release 3.13.0, 2025

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:02.804843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:02.804843Z digest=sha256:5c8235bc14076117f940fa694b615cecdde96d4839e46e827f579f1d15da5a5b

Observation f233e918-20a2-4dd8-ae5f-f93b949c81da · outbound

This paper cites Maillard Sampling: Boltzmann Exploration Done Optimally.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Maillard Sampling: Boltzmann Exploration Done Optimally

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:33:07.076232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:02.872765Z digest=sha256:db9e70c3fdf513166a8594e081f037e061d5874cd835efb522b2ba86fde296f9

Observation c7460581-3f59-46cc-a088-f9108f462d64 · outbound

This paper cites Simple regret for infinitely many armed bandits.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Simple regret for infinitely many armed bandits

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.308397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:02.965125Z digest=sha256:54efc5638a049ef90616a9e75f727989c6029bf68a64a2ebe0ab57cdc20f15d0

Observation f8541d78-6217-4e5f-a137-fa8d260877a7 · outbound

This paper cites Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.079044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.079044Z digest=sha256:86fa1f8fc96f3a453a776b70acab3312cf132d50ebf86dae35816589379265da

Observation 6db9dd25-ff4c-4bfe-94df-29f730bc7ae4 · outbound

This paper cites Pydantic , 2025.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Pydantic , 2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.228369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:03.169284Z digest=sha256:291d244cca60753311e3343ffcc10fc761011e53f43582243105fd5b4c29dfc9

Observation f034e8c8-1c08-4166-87e4-b72030c2e8ca · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.266877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.266877Z digest=sha256:e2e19799a537f5c6433becf6e431ac389b1043d60c58765ab0a717e51b8a9da6

Observation 55b9ce76-f3e4-49c2-a065-fa95e95bd2d9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.368971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.368971Z digest=sha256:da1351f030fcc1187c690d09a7760cd9cef5fddf830e6ad5203326858f2740be

Observation 66ab79c3-fd90-498d-85b6-cc11540e2296 · outbound

This paper cites Survey of hallucination in natural language generation.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Survey of hallucination in natural language generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.480657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.480657Z digest=sha256:89fd023128497bb83422e4a113a9f748c5b096c72d1e3d745c30ee165796a63a

Observation 3cba9855-0024-4709-837a-2e670c563b9d · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.585631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.585631Z digest=sha256:5cb757b93f8aad1ad305e2af622c2f1f48a036e02e6d37a96c19c572aa60b869

Observation f253d1d2-5328-4523-9fa6-c980ef25ce16 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.714224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.714224Z digest=sha256:5ea8548f7f0caac6388bdc0d6040cf6e2cfa0df78b5d65f233c104f7c5a6c9b9

Observation b76004d3-7006-4fb9-a444-fd66f3525d5a · outbound

This paper cites Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet).

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:33:06.899363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:03.844441Z digest=sha256:d003e054a56da96c3f1ca203e7ea0a1bb96e4d635f75aa19767579bc75f3d53d

Observation b872ec73-db3f-4a74-a25d-ad2b294b5ec8 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Self-Refine: Iterative Refinement with Self-Feedback

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:03.935290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:03.935290Z digest=sha256:9f90f3ac8b91927997059139690d650f81f28c6639fd33bcf1937c20b1aeda5b

Observation 52ca0c04-5c64-4da2-bceb-53186ceafb74 · outbound

This paper cites Pyright: Static type checker for python, 2025.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Pyright: Static type checker for python, 2025

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.160391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:04.049747Z digest=sha256:263e1355ae204ff80c40ed30fc41b6d717aab7f386129f47c0db3f89e97d0f5f

Observation b698a1da-7410-49df-a693-e7822242bdb0 · outbound

This paper cites Large language models in ai: Opportunities and limitations in real-world applications.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Large language models in ai: Opportunities and limitations in real-world applications

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:08.079063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:04.183288Z digest=sha256:12f8cb3b7a59216e51289b15348e3b3fac4c21b4614b6615e9707ce8b5afdac3

Observation 0e65068e-53b8-4785-b997-46defc18ece4 · outbound

This paper cites Workshop summary report on using ai tools to improve the efficiency and outcomes of the NEPA process.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Workshop summary report on using ai tools to improve the efficiency and outcomes of the NEPA process

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.977114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:04.298632Z digest=sha256:f12b218dcf9bd773daf2900ab7ade2500660d62b567a4f89e642e75fd7053784

Observation 50f242b9-6721-43ca-910e-6fdfa904f73e · outbound

This paper cites Training language models to follow instructions with human feedback.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Training language models to follow instructions with human feedback

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:04.411175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:04.411175Z digest=sha256:7395a02a726d6ef43372daec762f1d266c7696a7e3904dec45e9ffd2d553b709

Observation 6c87a0d9-4827-4e25-9070-1ba7055c1a6c · outbound

This paper cites To what extent have llms reshaped the legal domain so far? a scoping literature review.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing To what extent have llms reshaped the legal domain so far? a scoping literature review

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:04.559850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:04.559850Z digest=sha256:fca3b6a93d34b6286428cb9632ae5b7b2fd5f0fcdd72ca28f5feb3078e694501

Observation 0f7b5824-052e-4e3e-930c-4cfce32b2f40 · outbound

This paper cites Testing artificial intelligence tools to streamline the public comment‑review process for nepa environmental reviews.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Testing artificial intelligence tools to streamline the public comment‑review process for nepa environmental reviews

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.895094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:04.692791Z digest=sha256:ae8924af1955f32196bcf116f7212f8ea6f51bdece7808b3e0ebe1f6a5a6d31a

Observation 499a98f3-a124-4a1f-a074-9aa71ff65037 · outbound

This paper cites an unresolved cited work.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:33:07.800848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:04.805094Z digest=sha256:16ab6c8783919c73f56958bef5ba11d449dcc38461c9a3570b27f0a84d03a319

Observation 55a51cd8-148e-4281-b444-120e81d2bdab · outbound

This paper cites GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:04.891949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:04.891949Z digest=sha256:cca296cfe0aa426465f2224f3417e419698cc4ee3ea61054b5e674912a091a12

Observation 447b35a4-65a8-4979-8e55-6cbd5ae0b8db · outbound

This paper cites Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:05.012547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:05.012547Z digest=sha256:c83239eb93207e706cbc098393404c42e0f93a42a426f41e2a1a3d6573856ec2

Observation aff0cdc6-48d9-4b2d-a340-f122735f9e77 · outbound

This paper cites A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:05.098462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:05.098462Z digest=sha256:f115989a8b2ce3eacfef6c65c7b3cd4b63005278793b58a5550d3d55ac5c76d6

Observation 1ec1b4b5-a818-4fd0-ab34-89f3061d0f93 · outbound

This paper cites Efficient Prompt Optimization Through the Lens of Best Arm Identification.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Efficient Prompt Optimization Through the Lens of Best Arm Identification

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:05.190312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:05.190312Z digest=sha256:5ab02b998a801fe07633cb03bffab3a0cc1faf9bd97013da41af25b884af38cf

Observation 154f9740-592d-4044-bf97-cb801f025b65 · outbound

This paper cites Quantifying the substantive influence of public comment on united states federal environmental decisions under nepa.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Quantifying the substantive influence of public comment on united states federal environmental decisions under nepa

Reference 28

Resolution
verified exact
doi, observed 2026-08-06T18:33:06.400001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.299827Z digest=sha256:21ef645f43bca68277c5d46ef8261c73bfa7e69862b02844d61b05d7decf4bef

Observation f3e53554-cd28-4475-a303-31e35fe67e7f · outbound

This paper cites Presidential Memoranda: Updating Permitting Technology for the 21st Century , 2025.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Presidential Memoranda: Updating Permitting Technology for the 21st Century , 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.720600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.364344Z digest=sha256:f8be510a0e7b3efb7c71933c1f486695b6cb8609251df8ab9b2e1edd685f07ee

Observation 135d8f01-bb3c-4c1e-b852-b915803e3838 · outbound

This paper cites Department of the Interior, Bureau of Land Management.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Department of the Interior, Bureau of Land Management

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-06T18:33:06.710460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.419375Z digest=sha256:0045d5f8c4e7fb8eb682654847d1b41757a2f9df1d3c4589e238a53b762474d6

Observation 2dc31c2b-5923-43e2-9a97-2cecc0ab102d · outbound

This paper cites Fish and Wildlife Service.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Fish and Wildlife Service

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.644826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.500376Z digest=sha256:3829fd731fedb3360da77a08c8ace67bd998c3a24cea9dd2fe687d24f16cf5df

Observation 7ec90e2b-c20c-4918-86e4-874ff4d14997 · outbound

This paper cites Nuclear Regulatory Commission.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Nuclear Regulatory Commission

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.494448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.596419Z digest=sha256:2821193691a40638528d1926cbf8f035c88d9545b99e56043674377aae2793e7

Observation d65e1983-c50d-464f-b7ac-a25501b75358 · outbound

This paper cites Nuclear Regulatory Commission.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Nuclear Regulatory Commission

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.372167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.681188Z digest=sha256:1da10bcec74d0404c9e17af184f9dd66507185bcd3075a53c0437a4ddb5881c3

Observation e63c4ff8-156c-4553-9d65-42dd4b42e950 · outbound

This paper cites Workflow patterns distributed and parallel databases, vol.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Workflow patterns distributed and parallel databases, vol

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:33:07.228768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:33:05.758469Z digest=sha256:63d24ec2543ff39e433d36b25e927a3cc4faa5aeb9cbbda901e31810af1e46fb

Observation d7123df1-6bf8-4e2b-bfe0-403f18075990 · outbound

This paper cites Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:05.836604Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:05.836604Z digest=sha256:e635fb9d9dd52c04d758abad70a746378fd3fed0f840327515a544643ad82573

Observation 25457968-6059-4ee6-b5c0-7df3c6cc407a · outbound

This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:05.893119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:05.893119Z digest=sha256:5b24d0c66c9b9c5197a0fba8a45017a8bc72979e5d9f17e767d29e71c9f27558

Observation cda715fa-9972-4be9-962f-2edccf6ac70e · outbound

This paper cites Efficient Guided Generation for Large Language Models.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Efficient Guided Generation for Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:05.961813Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T18:33:05.961813Z digest=sha256:09c29b3b00947241ea132fed5073ae8527bea5cb67e5a3ffbfb500fff4d42dfe

Observation c664cc87-a2ca-4c91-9323-c5bc43d921aa · outbound

This paper cites Sipdo: Closed-loop prompt optimization via synthetic data feedback.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Sipdo: Closed-loop prompt optimization via synthetic data feedback

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:06.058069Z

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source=arxiv_source observed=2026-08-06T18:33:06.058069Z digest=sha256:e7cbb6e2b18052756a7a10b2a0d715c6366d69e272bd24c63c3db507c12d8e80

Observation 44174c96-2756-4230-bc8a-e7ee1365f3f6 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing TextGrad: Automatic "Differentiation" via Text

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:06.115729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:06.115729Z digest=sha256:8f0ec71ccd69668dbcda196c025b67358e18d09ea35cd44479e1450ecaab7620

Observation b57edc80-d8ee-4aa8-95da-5010ba88b309 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Large Language Models Are Human-Level Prompt Engineers

Reference 40

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unresolved
no resolver link, observed 2026-08-06T18:33:06.249505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:06.249505Z digest=sha256:1ea64ea9df11d7f5e52686ae456893653ba41d19dbf5057a0588d83c8cd3c9af

Pith citing papers

No inbound Pith citation observations are available.