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Paper Citation Record · LEDGER

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.13474.

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

pith.paper-citation-record.v1
2607.13474 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:07:11.294011Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c80092b5-a1c9-48cd-8a43-aff42bbedb38 · outbound

This paper cites Frontiers of Computer Science , volume=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Frontiers of Computer Science , volume=

Reference 1

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no resolver link, observed 2026-08-02T05:07:08.846805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:08.846805Z digest=sha256:c5ca48425db6a8c70d3e69bfdd0d464e2b481d20c6d582a7bd759c063dbf129a

Observation 4e221a5a-ce1c-49f1-b8be-1f322421e119 · outbound

This paper cites Science China Information Sciences , volume=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Science China Information Sciences , volume=

Reference 2

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no resolver link, observed 2026-08-02T05:07:09.029278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.029278Z digest=sha256:844b347147cc14e8ef16910b39df16fdf4afb5bf18d36be3be6c3c738c76f3a0

Observation d6ec817e-20b8-42b8-9629-c44f4c8a39ae · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 3

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no resolver link, observed 2026-08-02T05:07:09.087829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.087829Z digest=sha256:f561306d9eef2fbd1fc3833af146063006424b7227f89283fe319cd15b2c11cf

Observation 58967180-c5d3-493c-9c4c-dc775527107e · outbound

This paper cites Advances in neural information processing systems , volume=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Advances in neural information processing systems , volume=

Reference 4

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no resolver link, observed 2026-08-02T05:07:09.147194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.147194Z digest=sha256:a1f8ed3980c4a121a6f2d7e0594119d3ba582b3dc0847b96c4b08c10cba735c5

Observation 9da36763-844a-4b71-9319-01f16a25dcc0 · outbound

This paper cites an unresolved cited work.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-02T05:07:09.225359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.225359Z digest=sha256:19bbc4f8a5a12a32eb66ce93d6fe7af62fce5605e18f1fdafd1ca05a3400e825

Observation 7fee4d8d-61a7-4ed1-b7ea-d208c4ec760c · outbound

This paper cites AutoGen: Enabling Next-Gen.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems AutoGen: Enabling Next-Gen

Reference 6

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no resolver link, observed 2026-08-02T05:07:09.304664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.304664Z digest=sha256:10e557e4760510b3f526e221f5b87606368d4e5db3290d0edea6e373c156e053

Observation b91e0152-770f-4747-bcc2-79ba0478bc63 · outbound

This paper cites Advances in neural information processing systems , volume=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Advances in neural information processing systems , volume=

Reference 7

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no resolver link, observed 2026-08-02T05:07:09.348223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.348223Z digest=sha256:43a12bb92d641598d317af01f0dd37716ef2f5d581a1d00fae0f0335ab576347

Observation 674d9a45-0fbe-49e0-905a-3ac42fe260f0 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Transactions on Machine Learning Research , issn=

Reference 8

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no resolver link, observed 2026-08-02T05:07:09.472700Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.472700Z digest=sha256:9f0c3c6e7e5e1a1b32165f5dfbd75f218f6ce62885b06fad61943393282f2f64

Observation 283e4b52-282d-408e-8bda-bfe497afa027 · outbound

This paper cites 2026 , howpublished=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems 2026 , howpublished=

Reference 9

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no resolver link, observed 2026-08-02T05:07:09.544125Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.544125Z digest=sha256:761184559a2dd7467e7f7c0e96b863b202e15690de460fb94ec957d581d3e907

Observation 1a0034b4-82b4-46e6-a31e-bdb3b968d8ea · outbound

This paper cites 2026 , howpublished=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems 2026 , howpublished=

Reference 10

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no resolver link, observed 2026-08-02T05:07:09.624856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.624856Z digest=sha256:fb4496a0ea0b39ccfbc98c1980e31dff16a27c6be9cb02232cfce71f02b0ebc9

Observation bd7e6233-8fe4-4599-a163-82ffbaad3153 · outbound

This paper cites Survey on Evaluation of LLM-based Agents.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Survey on Evaluation of LLM-based Agents

Reference 11

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source=arxiv_source observed=2026-08-02T05:07:09.749547Z digest=sha256:8c47844981b32e558c91f65bcd72b87e55e9251c9c5fa13c60bdecb5d6382765

Observation 8286255f-4a47-42bd-88b9-c2fdba1c60d7 · outbound

This paper cites A Review of Prominent Paradigms for LLM -Based Agents: Tool Use, Planning (Including RAG ), and Feedback Learning.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems A Review of Prominent Paradigms for LLM -Based Agents: Tool Use, Planning (Including RAG ), and Feedback Learning

Reference 12

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no resolver link, observed 2026-08-02T05:07:09.904320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:09.904320Z digest=sha256:36f53635d5317550fba99b7eb312a2b599955a5a37ec782b4dc3a27ec45034bc

Observation 262ff009-0c5d-4dce-b548-187aede425d4 · outbound

This paper cites AgentSquare: Automatic.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems AgentSquare: Automatic

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.022866Z digest=sha256:03ca594fac4e23e843b03bc18653f2e4d48fa97784c55e7e432f5354c3e7418c

Observation 16fb8e00-6678-40bd-a181-213d8dd385de · outbound

This paper cites 2025 , url=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems 2025 , url=

Reference 14

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no resolver link, observed 2026-08-02T05:07:10.147692Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.147692Z digest=sha256:c48509221efcd3da9c02d588678c44c32b81625c05ee793bf802f5f89c93224c

Observation 6bbb4039-f0b3-4cc5-8d81-7def4e472f9e · outbound

This paper cites Holistic Agent Leaderboard: The Missing Infrastructure for.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Holistic Agent Leaderboard: The Missing Infrastructure for

Reference 15

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no resolver link, observed 2026-08-02T05:07:10.269157Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.269157Z digest=sha256:9ba311135b225bf4d9e67cde434fb047cdce7ee2b104f80de114a491a5814680

Observation f9343729-5422-41a3-b810-a360a81de9d2 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems The Eleventh International Conference on Learning Representations , year=

Reference 16

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no resolver link, observed 2026-08-02T05:07:10.341325Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.341325Z digest=sha256:73c702426f8e347d547dd972f21a66b672f842daa81bc852608adf3e8e410cf4

Observation 2241e09b-4879-4207-828e-549f17fb0775 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena , url =.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena , url =

Reference 17

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no resolver link, observed 2026-08-02T05:07:10.388831Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.388831Z digest=sha256:34a3ec03498cb917047549a54e2fadc7b2e93cc37da1e83eea7525683494c0fa

Observation 9729520c-001c-41fd-ad03-780d541e6d3c · outbound

This paper cites 2025 , url=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems 2025 , url=

Reference 18

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no resolver link, observed 2026-08-02T05:07:10.482067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.482067Z digest=sha256:23b9187abeb953787a6ae8c11892cd4c672f5c02eb6e5f3bb5e32f450ce911b3

Observation 3e8e429b-4fc9-491d-988d-e2475179da7f · outbound

This paper cites LightAgent: Production-level Open-source Agentic AI Framework.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems LightAgent: Production-level Open-source Agentic AI Framework

Reference 19

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source=arxiv_source observed=2026-08-02T05:07:10.609762Z digest=sha256:030d7609e989ebeddd9dc228110095d5dd13a5c6450f741b4512e7b88ef96aae

Observation 84c5a544-b5c4-4957-b691-bca28282c6ce · outbound

This paper cites , author =.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems , author =

Reference 20

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no resolver link, observed 2026-08-02T05:07:10.769022Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.769022Z digest=sha256:59aeb1856c2933d8aba9f72a3dfd79fe969acfc8e1826be1e6ab041d443bb1ca

Observation 29874000-b15e-4393-b46f-585648aecc63 · outbound

This paper cites W eb V oyager: Building an End-to-End Web Agent with Large Multimodal Models.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems W eb V oyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.922675Z digest=sha256:f6b453eea24a6e64cb3656b8a15e9f0439b9617bdf5425766b255cd0c59f013e

Observation b680677d-56a9-4362-8f21-ec2f456f42bc · outbound

This paper cites WebCanvas: Benchmarking Web Agents in Online Environments.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems WebCanvas: Benchmarking Web Agents in Online Environments

Reference 22

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no resolver link, observed 2026-08-02T05:07:10.996238Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:10.996238Z digest=sha256:25e08f860039bba131cc6a7b6c70865d9d3d09c0f58c25a72728fbd74088a4e7

Observation 0e108358-9cf7-48ee-b345-68c2ca4a24a1 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems The Twelfth International Conference on Learning Representations , year=

Reference 23

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no resolver link, observed 2026-08-02T05:07:11.132099Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:11.132099Z digest=sha256:a0efaf15e093c4dc147331860dc390486ccade0741f9b5c5baba91b894d20380

Observation 6af818cf-8d5a-4c00-9c56-aace5b2abaa1 · outbound

This paper cites W eb R ollback: Enhancing Web Agents with Explicit Rollback Mechanisms.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems W eb R ollback: Enhancing Web Agents with Explicit Rollback Mechanisms

Reference 24

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verified exact
doi, observed 2026-08-02T05:08:22.413506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-02T05:07:11.180426Z digest=sha256:c3ae61870e42f3d7939da00d2d8737d815feb34b61214ebae20ab5df26031c02

Observation 4b6e18dd-6634-478c-a0e4-fb3bbf21b923 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems The Twelfth International Conference on Learning Representations , year=

Reference 25

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no resolver link, observed 2026-08-02T05:07:11.236854Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:11.236854Z digest=sha256:9a968a77e08a2d0ac2253bdca127b28939c04598f55bfdcca0337fa6cc815b7b

Observation 47a31026-dbe4-4b1e-ae87-d769d0dea152 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 26

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no resolver link, observed 2026-08-02T05:07:11.294011Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:07:11.294011Z digest=sha256:68b71af5acd19ae30be87dea953ae206706948e549d1e277833829a5d372530d

Pith citing papers

No inbound Pith citation observations are available.