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Paper Citation Record · LEDGER

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems?

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.00629.

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

pith.paper-citation-record.v1
2509.00629 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:31:28.238316Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1a386d4-be61-4760-9849-531825d1f067 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? ReAct: Synergizing Reasoning and Acting in Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T13:31:26.984283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:31:26.984283Z digest=sha256:82a7ae6c20b874699a2130b230648b4223bd58a927ea8d876a5abd64d5b55661

Observation 3265346e-8262-4e3a-8bbc-a9444ba52261 · outbound

This paper cites [BEGIN PROBLEM] {INSERT PROBLEM HERE} [END PROBLEM] # SELF-REFLECTION You were previously solving a coding problem.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? [BEGIN PROBLEM] {INSERT PROBLEM HERE} [END PROBLEM] # SELF-REFLECTION You were previously solving a coding problem

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:31:30.077653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.305302Z digest=sha256:8dc3649bef4f6323bf7e6dc962f571d810c25d99379829b5fd9947e37533a646

Observation f7f01edf-f7e3-4973-9562-ceb6368f79a0 · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:30.533609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.416562Z digest=sha256:21b415c7ad9f4aceb023f363a012e3e20ae741f4a320627e97d0fb98e310711b

Observation 57ca0a00-2c93-465e-854a-da850edbffbb · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:30.523897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.531257Z digest=sha256:e392be41dff08dd7a73e99db7e4df3cabb52cf8e16fd6e4ceeb3aaac5428dabd

Observation 2b026ce4-1d39-4751-ace4-8b10903772ec · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:30.303130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.606281Z digest=sha256:7507cb2cbcf2750f5f34063e9415933f69e8d8b4decc755eb3f66a1f9bafb8ec

Observation cd03360d-4347-4540-aca8-763d5d63a0a5 · outbound

This paper cites [BEGIN SIMILAR PROBLEMS] {query[’retrieval_text’]} (Similar problem problem + solution goes here) [END SIMILAR PROBLEMS] Now it’s your turn.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? [BEGIN SIMILAR PROBLEMS] {query[’retrieval_text’]} (Similar problem problem + solution goes here) [END SIMILAR PROBLEMS] Now it’s your turn

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:31:29.880132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.701407Z digest=sha256:85851579b3fa8405b0c47488d167eeab098c2d446cbfb2d830d507d1157298b3

Observation b32dd9a2-0ec8-40c6-a591-5cee5abdc6b4 · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:29.670660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.778246Z digest=sha256:43110e26af9722fbc213c154af8d0753cd31513498eb648ec4877c4c883f01b9

Observation 2107acae-9ce8-480a-a870-51eda93d6adf · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:29.340480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.864907Z digest=sha256:b0e146b6fd4b5328fdc8457bbbee2bba0fcb5407dd1280b1b6e9e4bce66a1c94

Observation f9ea0bd2-6d7a-496c-b2f7-29ba219abe74 · outbound

This paper cites You MAY provide the models with:.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? You MAY provide the models with:

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:31:29.110341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:27.935959Z digest=sha256:065702a7f11ebe29b99304167b702fdccc94db8a0e315981b0d998b66adc975f

Observation 556a307f-ec1d-442a-bfaf-9f11b734522c · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:28.791281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:28.037212Z digest=sha256:10466a9b76341b5d840f946884023f94098b052264d9ba17749a1ecce63a32b1

Observation 9c8d9be6-25d3-4570-9e4a-b2b51c96c2ce · outbound

This paper cites an unresolved cited work.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:31:28.559387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:28.163413Z digest=sha256:dc4b282f0f3796fe3cfc34724d06a7cd8fae2e298d66b17d134a4da3efd90472

Observation 821ff9c2-54f1-42c9-b84d-d7ea19df241f · outbound

This paper cites Here are examples of correct pathway: B Qualitative Analysis: HAI # FEEDBACK PHASE 1 P3: Please reply with a C++ solution to the below problem.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Here are examples of correct pathway: B Qualitative Analysis: HAI # FEEDBACK PHASE 1 P3: Please reply with a C++ solution to the below problem

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:31:28.415254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:31:28.238316Z digest=sha256:ce03bf032d668b377c887a7314abe76b7b0e00f5a86e9b2a882730271f9d9e3c

Observation 13849952-b2fb-4fc0-9184-3b3bd4ee5d6a · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? Measuring Coding Challenge Competence With APPS

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T13:31:26.857430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:31:26.857430Z digest=sha256:7e3a9f73a37d051bbe82803e6506b911b96dd82239fde109b18b358218f55e96

Observation de9f739e-5aea-46f6-a558-cb9b8454cb9b · outbound

This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T13:31:26.897102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:31:26.897102Z digest=sha256:7b520e0c1b05a837033fb65ed7d35b2219926ab9e6c99242f256e709a5cacea8

Pith citing papers

No inbound Pith citation observations are available.