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Paper Citation Record · LEDGER

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents

As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.08570.

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

pith.paper-citation-record.v1
2608.08570 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:35:18.744747Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d1d7f16-743d-4066-af2a-cd91f596d911 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Evaluating Large Language Models Trained on Code

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.235069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.235069Z digest=sha256:c40a23478f7f2f28ee0a52e88c5c8003adcfd9ccbae8242ef3daabf2f047e25e

Observation f22dbb5a-1e5b-4539-a6fa-9c7809aa9d5e · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.329071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.329071Z digest=sha256:7e03e3e52a9ad645870f0b495c7f3d719a37c66043077e1dbb78a8a8b2aca299

Observation 9c6bb5cd-cc98-40bb-a960-ffb9b589b79d · outbound

This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.409597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.409597Z digest=sha256:1f6a31530707b6a79219eb6f6b356d77da77557f58ec3afacd1e05268476c034

Observation af854849-8964-473a-b613-5f374d05d65d · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.445034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.445034Z digest=sha256:287998260b5ae20902174d48582b81018c9c22c094a73aab21ac48adf66fe54e

Observation a356471a-ef8a-4e2e-82e8-aab2fc51e78e · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.484752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.484752Z digest=sha256:bf8b130858a7b6dfdd4d1f2b9223badefb219a6c29245fc1a0ce10e0703a8e39

Observation ef46e9cc-3352-45cd-a2b1-76fb55692f5e · outbound

This paper cites Step Rejection Fine-Tuning: A Practical Distillation Recipe.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Step Rejection Fine-Tuning: A Practical Distillation Recipe

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T04:35:19.515418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:35:18.504154Z digest=sha256:e6c58bc8d50a0feec16429067f7acbc4672822b5e2c6a7cbd056aa47c60b520f

Observation 09cacc12-62c6-4acf-b07c-4ff79c5c4006 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.527928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.527928Z digest=sha256:a6b21d1799ba6e591e26c75d4e3cc185f1208f2f559a3a4d78e9f0d5e3039f6e

Observation f0152294-7a94-4411-9220-627b349e0387 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Agentless: Demystifying LLM-based Software Engineering Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.611502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.611502Z digest=sha256:e40735755725c7bbdd7d11d973c83b46fc2e8e7082c3ab1eac394b4c37ac9f25

Observation eb9fed2f-b065-450e-9b92-9a67a128c79a · outbound

This paper cites InThe Thirty-eighth Annual Conference on Neural In- formation Processing Systems.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents InThe Thirty-eighth Annual Conference on Neural In- formation Processing Systems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:20.166634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:35:18.664753Z digest=sha256:bbcfa812e7c022b31d67f9d44f5328ddeaa62f6c5aa8538e8bf3839c3326cb26

Observation ffd5d77b-22bc-4f8a-ba4b-daa9f3db84a4 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.706054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.706054Z digest=sha256:cc9a33bcd1d8649d73838e83a73aeb64b7055eac0d70e0a29b23ee9a4a33c1e4

Observation 929e4b31-61c1-478f-8759-3e0f8116d16b · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents GLM-5: from Vibe Coding to Agentic Engineering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.744747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.744747Z digest=sha256:b3a451e62788e81bb5ec3ab1c2c0bc020bd7b90a33bb72e9a9b7f52c376996c1

Observation f54916a3-27ea-4420-8596-d6834539b77d · outbound

This paper cites InInternational Conference on Machine Learning, 4940–4950.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents InInternational Conference on Machine Learning, 4940–4950

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:20.254752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:35:18.349104Z digest=sha256:286516d11f09d1875d878078c4bc87aa597921783094c29adb868edbcbb49098

Observation 30d1c0ad-cfce-4fbe-9cab-4dfb8204f905 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Reinforced Self-Training (ReST) for Language Modeling

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.287222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.287222Z digest=sha256:48c4e53b21a639e4ccf103602c24e06b325cd4cfe50f58f06fe1b915f397787c

Observation 87cd4cd1-9581-42f6-97d7-1441209e6a48 · outbound

This paper cites InInternationalConference on Learning Representations, volume 2024, 57734–57811.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents InInternationalConference on Learning Representations, volume 2024, 57734–57811

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:20.405464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:35:18.254931Z digest=sha256:b7eba3cca130b28ff2b4bb232fbf084b9fe6537ac4879dc75e7ca8bf25fe6f8b

Observation ac2fa8c3-3207-4f37-aa2d-4f7a74718ad6 · outbound

This paper cites Exploring Expert Failures Improves LLM Agent Tuning.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Exploring Expert Failures Improves LLM Agent Tuning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.372917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.372917Z digest=sha256:5e7ba7e7214d546d1b9a7fcca805117ca8c4224bc98fc3a73d129b5e2d0a975f

Observation dcc81b6a-d705-4067-af07-c98c4c9c2f86 · outbound

This paper cites an unresolved cited work.

FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents Unresolved cited work

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:18.564768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:18.564768Z digest=sha256:323e3046f0ff2f95b65cd5cac0aba13e52ccbcce7dfdfb774dd9500d44a02ed2

Pith citing papers

No inbound Pith citation observations are available.