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Paper Citation Record · LEDGER

Metis: Bridging Text and Code Memory for Self-Evolving Agents

As of 12 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.24151.

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

pith.paper-citation-record.v1
2606.24151 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

15 of 15 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11deaec9-3b0b-4357-9b39-4b7e52292cbf · outbound

This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Metis: Bridging Text and Code Memory for Self-Evolving Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:29:56.664353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:5fccff227d3842462b3bc11c2e423697ebb377be1d3d2e93d45ae4fc35a5c12f

Observation e71e57b1-f029-464a-97d5-ee09195d490b · outbound

This paper cites Trajectory-informed memory generation for self-improving agent systems.

Metis: Bridging Text and Code Memory for Self-Evolving Agents Trajectory-informed memory generation for self-improving agent systems

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:56.693166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:2cdedd85805338cb3a19bab65b2edc964bd7b2fb7da2dccacff97a0fcc8e7b26

Observation a24f016a-e5b1-472d-9fa2-8ad51d13c513 · outbound

This paper cites XSkill: Continual Learning from Experience and Skills in Multimodal Agents.

Metis: Bridging Text and Code Memory for Self-Evolving Agents XSkill: Continual Learning from Experience and Skills in Multimodal Agents

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:29:56.675372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:eac4fe6b2e6ed2c20aaae1f1e2c7bfdb7d8f07a2248e81967b649e1418892fdb

Observation 0723eee7-8913-4763-be5b-075ed3dfc87b · outbound

This paper cites Unifying dynamic tool creation and cross-task experience sharing through cognitive memory architecture.

Metis: Bridging Text and Code Memory for Self-Evolving Agents Unifying dynamic tool creation and cross-task experience sharing through cognitive memory architecture

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:56.699738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:a2b75495962cdd9e3fcb0c631788d40dc2b712e00ed9c2cf136589c574f62f18

Observation 9c54a24a-1415-432f-aabe-98facabdc82b · outbound

This paper cites MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers.

Metis: Bridging Text and Code Memory for Self-Evolving Agents MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:56.693386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:39b68e78e9d0a235d8c3cf3341a6e6546838920105794aa8c3ea1007c9ed1877

Observation 2a6cccdd-3991-4a64-903e-1dc4ee7015f3 · outbound

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

Metis: Bridging Text and Code Memory for Self-Evolving Agents Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:29:56.683203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:97815535ea5284f5e8db8a0e470773d8aa4b4098f2426adfdebf31e3f3c183f8

Observation d516944d-8ee5-455c-b3c1-ec70ce70de58 · outbound

This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

Metis: Bridging Text and Code Memory for Self-Evolving Agents Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:29:56.695992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:57b257c2dfcc72b497548bb88b8a31845cca19e2c7483fb13ad23deb7c398c4d

Observation 048c3194-beb7-41f4-aca8-381e568bedba · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Metis: Bridging Text and Code Memory for Self-Evolving Agents Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:29:56.682139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:e744fcaa86b1c8df765b92b0d51360dea2342468e374c9fa571cd076a041c6ea

Observation fd03b3ec-3378-46a8-a78e-140c81b2c9a6 · outbound

This paper cites AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.

Metis: Bridging Text and Code Memory for Self-Evolving Agents AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:29:56.702658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:25d7f965801ab80920cc7801f1cbe1dd73fc95baa4e386a414e9492d1286e160

Observation 10fb4aae-b64b-42c3-b43d-cfa5b44d4037 · outbound

This paper cites SkillX: Automatically Constructing Skill Knowledge Bases for Agents.

Metis: Bridging Text and Code Memory for Self-Evolving Agents SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-06-26T00:48:44.675912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:3eabd11720b08a7f79a19abc0ab0c52bbe56b92f26761b7e3e1e66f2ad043d46

Observation 1011d5ac-93f9-4dc2-a4fc-d712afa373d3 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Metis: Bridging Text and Code Memory for Self-Evolving Agents SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:29:56.690215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:96d4bfa43dae1afc40965010cba148c2d05e7e540eba474ffb261657f9321565

Observation a3053e8e-3669-4bb4-a7ad-6296cd219508 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Metis: Bridging Text and Code Memory for Self-Evolving Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:29:56.680737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:6b56d6c922e62cf1539667f966c7fd48909303b4dfcebe187d4727bf405fb482

Observation 488f3b02-04b9-4d5c-bae8-d0bded8a603d · outbound

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

Metis: Bridging Text and Code Memory for Self-Evolving Agents Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:29:56.678208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:9c337db74e78567c7c73af8f4a0d34e0b05a2946923801eaba0b5ace495795ed

Observation 8a80aa8a-bad2-47a1-bdb0-631a933d4f60 · outbound

This paper cites Agentic plan caching: Test-time memory for fast and cost-efficient LLM agents.arXiv preprint arXiv:2506.14852.

Metis: Bridging Text and Code Memory for Self-Evolving Agents Agentic plan caching: Test-time memory for fast and cost-efficient LLM agents.arXiv preprint arXiv:2506.14852

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:56.689363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:68334100d515e82d862b2599f140f4736abc5a90bee96e48ede42a65b6b1ae2f

Observation b310bbe9-b8cc-4849-b08a-1b9738e830f0 · outbound

This paper cites Memento: Fine-tuning LLM Agents without Fine-tuning LLMs.

Metis: Bridging Text and Code Memory for Self-Evolving Agents Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:56.686562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T00:42:55.758578Z digest=sha256:bfbdd8e57c5b7a5b293a601468573780b985fa09805cda5d4d052b49698c1523

Pith citing papers

No inbound Pith citation observations are available.