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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:832be5de9ef13034114cc97ad7979c1ffd9f04f78971311309cda5edd493ca1d

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=sha256:1187f18be7e9d6a1db39744456cc77a3e361a80140d7a98ec09a8c0614c46781

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.731145Z digest=sha256:5c9befd80f3278b4b1692fdeee906214c712192abaaa505c1eab2fda3106050d

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:c2ee01277030b5dd46712d599d74198f13678ec49a07b31a30ca7a5aa561912b

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:a34a8017c5485ade6c807fad4233ec3febc8738b8594cadc48421884d29ec8a0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.917866Z digest=sha256:98e6a8deb3dbd62f2c66d416e0e8180a39f85886a75629482a4310da6331c22c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.977873Z digest=sha256:2142d6a9a4da9dc4e9918200e289aa08257e6d827b4899f9a616fa6ec6cce9c7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:04.182191Z digest=sha256:c1cc057cbf48c5a27eeaa514017d5efe4f1ccbb7ea0b6c7c0d1da4ba594f33a5

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=sha256:7045b623d40cb36e9808d2ceb0d4366cce9b7796344590a45bdfa3ffb03a6fa2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.651562Z digest=sha256:9e78822f948e5ae79bc702a7f4e41d694785016319696fd88b351070ca1c5d23

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:02.937474Z digest=sha256:feb4d4b45935e58a19c5dbd8bb0610ed0c1bbe9abe70bfb7c2402852a7b52a89

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.430157Z digest=sha256:ff3e623d8d723eb954be1603e12811cfe892960b7a68b5db49c505178d892671

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.321028Z digest=sha256:df18c4e06a87ccb8265b8580b99688b16bb1883449189022c4e404987aff6045

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:24:03.000240Z digest=sha256:8c513617a882bccd5850cf72bb3694f4ab7bc38e8e07bb1136506043f387f76d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T20:47:24.114157Z digest=sha256:fa89389c93e2618709bf945d81431117f1cd67ee6ea5219b66a44c4cae9f5bd5