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Paper Citation Record · LEDGER

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2505.21963.

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

pith.paper-citation-record.v1
2505.21963 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:04.182191Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T20:47:24.114157Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:50:36.633478Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9d1f090-3832-4494-a138-680ad16c4fcf · outbound

This paper cites The Llama 3 Herd of Models.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents The Llama 3 Herd of Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:03.192410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:03.192410Z digest=sha256:8c0119a84a86d255920d72349031b5bd26f3af95967693cee9f522597dd666a7

Observation e128086a-e5c4-4fa4-916b-439d6c9c43f2 · outbound

This paper cites A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:03.548442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:03.548442Z digest=sha256:4e73485d56e3a7febd491d38c8061753ee8dfdfc65b67932237b9a9a2cb47e02

Observation fce5bd63-98b8-4419-8f08-f562c104171f · outbound

This paper cites In Findings of the As- sociation for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, pages 12891–12907.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents In Findings of the As- sociation for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, pages 12891–12907

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:05.481255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.731145Z digest=sha256:a108c256c1f697564af3268eea790fc8e97319cf79b94966fb9ddcd3a02ae05f

Observation 98a372cc-5023-42b1-bc9a-b6e72f1d011c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Gemma 2: Improving Open Language Models at a Practical Size

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:03.788407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:03.788407Z digest=sha256:0ea9587f7786f68f20909b2c642ee06753be99a503c3ec7954822c7ba9b870b3

Observation f766984f-58ff-49b7-b721-aae5b7ea876b · outbound

This paper cites Qwen2.5 Technical Report.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Qwen2.5 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:03.863358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:03.863358Z digest=sha256:ce1a0e36942c7d90346e6ab2b2d1e8e97fcbab4923f042d6c2dcd9a99c00fa83

Observation 0cf4ab0d-0c99-4039-a7ae-65a30c965e4c · outbound

This paper cites Yangyang Zhao, Zhenyu Wang, and Zhenhua Huang.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Yangyang Zhao, Zhenyu Wang, and Zhenhua Huang

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:05.301562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.917866Z digest=sha256:6fb8f4dfeaf81ba85f6c7401d57511eeb01e82db1a5fa3910f7b3a85b8de102f

Observation eda1ca73-3826-47cd-a13a-34feed072d07 · outbound

This paper cites an unresolved cited work.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:24:05.076101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.977873Z digest=sha256:51a73d5052eb069949e571eb834a60926384f926e71d31a9b8bcf73378e27677

Observation 69a2718d-088e-4d0a-9791-fe67b1eaf4c7 · outbound

This paper cites seed ": 42 ,.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents seed ": 42 ,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:04.904238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:04.182191Z digest=sha256:3b55d21f6e8e291acc91ee62a36720580f570489f2cde586a094b6ae2da36680

Observation da4f21ff-dd26-48e6-a0df-03ff0ed44126 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:03.119131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:03.119131Z digest=sha256:ebe5d5fc7f7c681e86c32a0bd60ee2e8ae4b8ad757a512fa3d761be39cfceaa7

Observation 23289dfb-cac8-496a-9826-dacdb405c694 · outbound

This paper cites an unresolved cited work.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Unresolved cited work

Reference 2022

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:24:05.626648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.651562Z digest=sha256:fab81859525a683ccaf51825e5419da5c2cd71caf5293b0b8791986a323d536a

Observation 153fa174-3063-4918-8fb4-8c7321cddd11 · outbound

This paper cites an unresolved cited work.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:24:06.166869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:02.937474Z digest=sha256:fd122235a875646193d8c97625f716b86358c6b7588a2bec39860f611dcfde74

Observation a8017a12-56ea-4d2b-8894-f72b5ac12af1 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, pages 15604–15621.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents InFindings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, pages 15604–15621

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:05.819098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.430157Z digest=sha256:75b77f6d46dbd8ed8bd7b55513888b599f7fd8574a6e1a9fce145ed2e210dc10

Observation ee456930-9745-4543-b117-e89d967f7c38 · outbound

This paper cites If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:24:04.671427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.321028Z digest=sha256:58ebf814926897fd675cd95b95bdd446608cfba8abc20716292ad8949ad61e71

Observation ce5fe8bd-9c9a-4e97-8867-185b44cccb07 · outbound

This paper cites an unresolved cited work.

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents Unresolved cited work

Reference 9366

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:24:05.968237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:24:03.000240Z digest=sha256:0f537534bcd75628fc9d8e6ff952861697c874c71ce763702d8c4e02103f7e95

Pith citing papers

Observation b4b58a70-a48a-49ad-ba5e-81f26c79958e · inbound

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems cites this paper.

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:36.635884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T20:47:24.114157Z digest=sha256:ccec86af456833743683b2bfd1fd9af70cfccde51ae004a338b5f05ff9d6f0ea