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Paper Citation Record · LEDGER

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.10504.

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

pith.paper-citation-record.v1
2608.10504 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:22:06.400659Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

42 of 42 outbound references displayed

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  • unresolved20
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External citation measurements

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Outbound references

Observation 9796f0e4-3c25-47dc-917b-a8779b973255 · outbound

This paper cites Fromdatatowisdom.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Fromdatatowisdom

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.258831Z digest=sha256:280e8a456d3a6aea33ca456cf7960ed66ed41b8aa2be1ef7e2c7f32fb849fa70

Observation 10fd0b2b-1d85-4298-aa38-cc232f8f3942 · outbound

This paper cites GEPA:Reflectivepromptevolutioncanoutperformreinforcementlearning.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph GEPA:Reflectivepromptevolutioncanoutperformreinforcementlearning

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.262906Z digest=sha256:245b332f4c7da7d4dee17e449355de8149b1a00b95a20ea6aeee9aa2bd460fd3

Observation ecf2054c-cee6-40fd-b575-79060d310756 · outbound

This paper cites Agent KB: Leveraging cross-domain experience for agentic problem solving,.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Agent KB: Leveraging cross-domain experience for agentic problem solving,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.266356Z digest=sha256:7b1aa700c45a5139fe1d1e940cddf8a76c4962b5e788aeeeb57984ac203da400

Observation 56247f1c-3446-4586-8ce5-e7860863d736 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 4

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source=pdf_text observed=2026-08-15T14:22:06.270000Z digest=sha256:bc490321d2411ad15728baabeefccd9e177a71459571401380a5a3c46feb242b

Observation 22dbb010-d355-405e-8048-5e2ef75a3206 · outbound

This paper cites A general approximation technique for constrained forestproblems.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph A general approximation technique for constrained forestproblems

Reference 5

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.273432Z digest=sha256:2b3dbb51a165d396864de4b2ac69b57e3e606a55f7e69d7c3b18d889340e2712

Observation e79ef721-f7f2-47cf-9a08-66bb4c489707 · outbound

This paper cites Flow: Modularized agentic workflow automation.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Flow: Modularized agentic workflow automation

Reference 6

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.276789Z digest=sha256:951ab0a4b2e61f0cc8b4fd8185063fad72e8ce709815816d97d604bd201a7864

Observation b945b225-41b3-497a-a454-d08c31690075 · outbound

This paper cites DS-Agent: Automated data science by empowering large language models with case-basedreasoning.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph DS-Agent: Automated data science by empowering large language models with case-basedreasoning

Reference 7

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.280192Z digest=sha256:5f3a91aacb4573d109c4a8f87bb90c3a3aac7bb7e6bd36b34d79a25a80af7f40

Observation a7a37638-3816-4cff-8ea0-c2b85d13df9e · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 8

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source=pdf_text observed=2026-08-15T14:22:06.283318Z digest=sha256:a61ddce993dd27a5304a7acb73e393ec8b8ff727fb88d6ccf4d0009c527465f1

Observation dd554603-aba2-4b6a-8f01-60c54c1020f5 · outbound

This paper cites FromRAGtomemory: Non-parametriccontinuallearningforlarge languagemodels.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph FromRAGtomemory: Non-parametriccontinuallearningforlarge languagemodels

Reference 9

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.286474Z digest=sha256:23214153c75808336e98c1c4b83d48708822a58425c5e1b7c150093e4ec139e9

Observation e7bab570-2b1e-4ad7-aae1-8d7dd6569687 · outbound

This paper cites Upskill: Agent skill generation and evaluation.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Upskill: Agent skill generation and evaluation

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.289227Z digest=sha256:84e13e5fbbd159c3394a7e3f9db6ecf077652ca2604747d821dba23523377189

Observation 50f7be3a-5f63-46c8-8229-ec916ca57975 · outbound

This paper cites https://ghuntley.com/loop/,2025.Autonomous agentlooppatternforiterativetaskcompletion.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph https://ghuntley.com/loop/,2025.Autonomous agentlooppatternforiterativetaskcompletion

Reference 11

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.292225Z digest=sha256:4a52b582b4bcbf50e84759350b0b043a6307de498730b6564fc2abc70ba27563

Observation 52579452-5708-4f05-af3c-7a008f6d7ac7 · outbound

This paper cites SWE-Bench-CL: Continual Learning for Coding Agents.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph SWE-Bench-CL: Continual Learning for Coding Agents

Reference 12

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source=pdf_text observed=2026-08-15T14:22:06.295438Z digest=sha256:b1484a8415fddc81220d809f4ca50d94f16cdbbcd9216c876e0ff7917f2b6827

Observation d6927ec7-3fba-423f-b97c-30c8fec5117a · outbound

This paper cites Joshi, Hanna Mober, et al.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Joshi, Hanna Mober, et al

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.298901Z digest=sha256:a60cef3743b6c74ccb5c2643fc30137c2ce63e11af59dcb9ba4b12d1487bbcd7

Observation bb4f04c1-bb27-4ea2-8a2f-77c6371b7b68 · outbound

This paper cites Feedback descent: Open-ended text optimization via pairwisecomparison.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Feedback descent: Open-ended text optimization via pairwisecomparison

Reference 14

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source=pdf_text observed=2026-08-15T14:22:06.301924Z digest=sha256:164c7155fe7fd89c47da07b2e74989748db3892122999ec4f691994cafc75f8c

Observation 6dfc04c8-fb59-40ce-9cfe-0bd19f9aa4f9 · outbound

This paper cites Organizing, orchestrating, and benchmarking agent skills at ecosystem scale.arXiv preprint arXiv:2603.02176,2026.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Organizing, orchestrating, and benchmarking agent skills at ecosystem scale.arXiv preprint arXiv:2603.02176,2026

Reference 15

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source=pdf_text observed=2026-08-15T14:22:06.304841Z digest=sha256:d29513c3a9fd935622cc3d71f3e234d1c048d595d93560bb79f1eb9d465a5e00

Observation 3fb1c521-cd3d-4f93-8fc8-fd8adff487ea · outbound

This paper cites SkillNet: Create, evaluate, and connect AI skills.arXiv preprint arXiv:2603.04448, 2026.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph SkillNet: Create, evaluate, and connect AI skills.arXiv preprint arXiv:2603.04448, 2026

Reference 16

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source=pdf_text observed=2026-08-15T14:22:06.307717Z digest=sha256:b3a8fabbc468a41ba7bed4d625de698dbbe898de561a700f0b4f26f162834b3c

Observation 4b798456-27c0-4b9c-ae2c-e15473c438b4 · outbound

This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 17

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source=pdf_text observed=2026-08-15T14:22:06.310590Z digest=sha256:9770797c33dd5b208cae62422e2d2415b33c15c064f5c0fad2985b534a14beaf

Observation 6a801b68-bb20-4379-8b25-692b860d025c · outbound

This paper cites SWE- Next: Scalable real-world software engineering tasks for agents.arXiv preprint arXiv:2603.20691, 2026.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph SWE- Next: Scalable real-world software engineering tasks for agents.arXiv preprint arXiv:2603.20691, 2026

Reference 18

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source=pdf_text observed=2026-08-15T14:22:06.313536Z digest=sha256:b0c696d8f1159d1e4ded0a65a0eea72785f5c8a975b1e60b70bb7c68da731786

Observation ea97dab7-26ce-4a3f-81c1-1e369bd432d8 · outbound

This paper cites Self-refine: Iterativerefinementwith self-feedback.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Self-refine: Iterativerefinementwith self-feedback

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.316344Z digest=sha256:0d04ab5513a31223ca001e63f45e02884128e1ddd8274323edcf678d5390553f

Observation e11e69ed-c99c-4122-8fa7-108258b1c5b5 · outbound

This paper cites Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents

Reference 20

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source=pdf_text observed=2026-08-15T14:22:06.319610Z digest=sha256:e22e7e0b296f8d3ea3445fa6011231a776a05c0ab28d538ec2cb62a9338008b1

Observation 170c65fa-61c2-4929-9946-13cac3679fdb · outbound

This paper cites Optimizinginstructionsanddemonstrationsformulti-stagelanguagemodelprograms.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Optimizinginstructionsanddemonstrationsformulti-stagelanguagemodelprograms

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.323290Z digest=sha256:bee1c14e10b3e0dac243a3c8150d9c4f812b68b289d6ded6dcccba5aefc13723

Observation f676f7e8-d0fa-48e6-b24d-c47d6e6fc0c6 · outbound

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

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 22

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source=pdf_text observed=2026-08-15T14:22:06.326247Z digest=sha256:574fe244bc767efdf9e70723eb446478b0ab1413e8312e207605126af72c7ef7

Observation 2a33b1fe-1786-41fe-b42e-13841c1fd3fa · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph MemGPT: Towards LLMs as Operating Systems

Reference 23

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source=pdf_text observed=2026-08-15T14:22:06.330753Z digest=sha256:eafa4e80601be99f79c6fe7f4c5a6ca0ac828226db36343792d08dcf0852c0d7

Observation ff51bf75-d562-49db-96a7-be008b2bb0f4 · outbound

This paper cites Synthesizingagenticdataforwebagentswithprogressivedifficultyenhancementmechanisms.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Synthesizingagenticdataforwebagentswithprogressivedifficultyenhancementmechanisms

Reference 24

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source=pdf_text observed=2026-08-15T14:22:06.334930Z digest=sha256:1bc98cda89f8ccdaeba45d55ed697086c2010ee93489d13cc118d0170639b154

Observation 7707cfc9-df7e-4a7a-8d88-55b9e5d4ea8b · outbound

This paper cites Causality: Models, Reasoning, and Inference.CambridgeUniversityPress,2ndedition, 2009.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Causality: Models, Reasoning, and Inference.CambridgeUniversityPress,2ndedition, 2009

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.338728Z digest=sha256:23ae333ebdbb1b3a174c83352c922f2907ecb40a4ecf2da2d946860ffe6acb44

Observation b72904bc-72c0-4255-8548-238dcf9862bc · outbound

This paper cites Measuring and narrowing the compositionality gap in language models.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Measuring and narrowing the compositionality gap in language models

Reference 26

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raw_fallback, observed 2026-08-15T14:22:07.162435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.342338Z digest=sha256:6e0cb29276ee11cf235e80bd1d9fd35908f9aa059e2f84549e086fb776b1d334

Observation f9454d0e-929a-4b43-b91b-e9df75aae524 · outbound

This paper cites ATOMIC: An atlas of machine common- senseforif-thenreasoning.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph ATOMIC: An atlas of machine common- senseforif-thenreasoning

Reference 27

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raw_fallback, observed 2026-08-15T14:22:07.150324Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.346226Z digest=sha256:daff2c4343bc6329c7c0a914b82afb6f5a5ffe0d76ccc8191822c621447f3331

Observation 5377cf66-9f4b-4bf6-9807-c357bbaf35a7 · outbound

This paper cites Reflexion: Languageagentswithverbalreinforcementlearning.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Reflexion: Languageagentswithverbalreinforcementlearning

Reference 28

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.350104Z digest=sha256:91957b793dfacc2819f9ed468c192bedab077b06755d73edd125982a2535f764

Observation 9b0bd8b3-9a7f-4d83-89f5-6c0b48e10bd2 · outbound

This paper cites ConceptNet 5.5: An open multilingual graph of generalknowledge.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph ConceptNet 5.5: An open multilingual graph of generalknowledge

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.353608Z digest=sha256:f32d10dc7ff7eb06177ed5a6065e869d656cda8fc252a26747b73cb1fce9a245

Observation dac711a4-83b6-4284-8cb0-301a711e40e5 · outbound

This paper cites Dynamic cheatsheet: Adaptive memory for test-time learning.arXiv preprint, 2025.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Dynamic cheatsheet: Adaptive memory for test-time learning.arXiv preprint, 2025

Reference 30

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raw_fallback, observed 2026-08-15T14:22:07.108640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.357454Z digest=sha256:0509bbf1f0c25189357703b577c7b5bc0e98530b812958d16dd3bb93fd47b990

Observation ce4d8daf-23ce-4047-b7e0-52da2ef2f6d9 · outbound

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

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 31

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source=pdf_text observed=2026-08-15T14:22:06.361336Z digest=sha256:a3e5559f5fe4459fd83e23fdebfc916d8f32b42b0a49a238619fe94347fc5dbc

Observation 9f27348a-8ac5-4dff-bc53-0a58a7ab950c · outbound

This paper cites Stateful reflective developer platforms (SRDP): Ai-native platforms for compounding agentproductivity.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Stateful reflective developer platforms (SRDP): Ai-native platforms for compounding agentproductivity

Reference 32

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source=pdf_text observed=2026-08-15T14:22:06.365503Z digest=sha256:ab2ab97f71aaffa800bd943b1cc29288cd0ef95eb2cd5def9bb22f35dcc5aa9b

Observation efc0efe2-81c8-4c32-b101-ac819ebcf57a · outbound

This paper cites Agent Workflow Memory.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Agent Workflow Memory

Reference 33

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source=pdf_text observed=2026-08-15T14:22:06.369099Z digest=sha256:83fafab24527d827e5387a361a5eef5ba47717a59a0662470ee7019ffa5f3321

Observation 1ad7bc42-d7ee-4f4d-b6ad-caff3bddefad · outbound

This paper cites Optimas: Optimizing compound AI systems with globally aligned local rewards.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Optimas: Optimizing compound AI systems with globally aligned local rewards

Reference 34

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raw_fallback, observed 2026-08-15T14:22:07.096106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.372960Z digest=sha256:f3c6a5ee23ff2fabdf15c8bbfb63f4f2bcffede452f6ed96ba161cda25f074f3

Observation 383a5667-a658-42fa-a597-1d24cf528e18 · outbound

This paper cites SWE-Exp: Experience-driven software issue resolution, 2025.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph SWE-Exp: Experience-driven software issue resolution, 2025

Reference 35

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unresolved
no resolver link, observed 2026-08-15T14:22:06.376351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:22:06.376351Z digest=sha256:04a0eacaad7687b12ebd0f91d5aef9629073dd7ef7b49fcc0136e35004dacfc7

Observation 3f4bf510-de6e-4bf8-be71-90e4a3667c2c · outbound

This paper cites UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T14:22:06.380020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:22:06.380020Z digest=sha256:aab821105a812aa20b07b0c7a30e397d48f4712563cd4c7a900aa0e54446324f

Observation e470408f-e63a-4f09-ac24-00231d1721a8 · outbound

This paper cites TextGrad: Automaticdifferentiationviatext.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph TextGrad: Automaticdifferentiationviatext

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:22:07.085169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.383458Z digest=sha256:c5f0248cb9a08a5fbf2fff42579ad9de30310d30149cf3052d2b5607eaa179c4

Observation 07296308-e38b-43e1-82fe-4d65e748c6ce · outbound

This paper cites AFlow: Automatingagenticworkflowgeneration.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph AFlow: Automatingagenticworkflowgeneration

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:22:07.074369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.386715Z digest=sha256:5c22c384059ee256d3ee5bd6d17db426a42680397fbb9f4fe1281945aa875d63

Observation 9591bed4-b9c6-4828-ac7a-a8a9f90c87ba · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T14:22:06.389991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:22:06.389991Z digest=sha256:418901153db898364e2e8d735da429cf523e43e93a9959b365f9cfe2bd1e36d4

Observation 4003ebde-f63b-4fb6-ae7b-32aa4892bb17 · outbound

This paper cites BIRCH: An efficient data clustering method forverylargedatabases.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph BIRCH: An efficient data clustering method forverylargedatabases

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:22:07.063914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:06.393655Z digest=sha256:695b7f479e11b1f73058dbac22fc50c8db08f7bc69e51c099acd39124400299e

Observation 04d59125-7b23-45d3-ae37-ebf7d69a1797 · outbound

This paper cites arXiv preprint arXiv:2603.18743,2026.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph arXiv preprint arXiv:2603.18743,2026

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T14:22:06.397029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:22:06.397029Z digest=sha256:5765383cd701f86a9e12fa7df1b82627b0df438147265d9d7e46796bd5e35e2d

Observation 803745be-896c-44a6-b322-765ea10b806d · outbound

This paper cites Synthetic Sandbox for Training Machine Learning Engineering Agents.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph Synthetic Sandbox for Training Machine Learning Engineering Agents

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T14:22:06.400659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:22:06.400659Z digest=sha256:dd4919708333be262bddbd223f98264839750aaf91ab0ca29df9ef1a53a0f4e4

Pith citing papers

No inbound Pith citation observations are available.