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Paper Citation Record · LEDGER

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2607.03935.

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

pith.paper-citation-record.v1
2607.03935 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:54:26.613926Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:51:18.937093Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T04:51:19.207582Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90360460-5eb3-492c-8ae1-df1f9dab16a3 · outbound

This paper cites Qwen3 Technical Report.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Qwen3 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:5a8218d590a13771a991d620d5acb01ea0013a31229b01e3f5c4c46014d3f6d7

Observation 3df78809-3528-4387-9894-a203265a148b · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Forty-third International Conference on Machine Learning , year=

Reference 2

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:822efbddb24e797af06987d4710e7964b4a1bd2341874849a2a62a09fe422d08

Observation 68b2de98-d14e-4646-b0d1-4a92ed3430d6 · outbound

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

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 3

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:a7770c36af48d998a6dd9e1d2f34c386c0e8269723e8ffd923e5c81f861e7fba

Observation 043bd42a-8316-4bb3-b37e-5bf2ea89d91b · outbound

This paper cites Aho and Jeffrey D.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Aho and Jeffrey D

Reference 4

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:b716d143a96052346b762dd120c67578918aec9e2f23ceda97837499086c4a69

Observation b4e884c3-8ce3-4edf-bb81-997abcdd8476 · outbound

This paper cites an unresolved cited work.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:0c52e02f5425ea7e728821772b6ad276459e7a4193f15b1450538a871940d6a0

Observation 1797df1d-c00b-4fb0-b6d4-dc5b44393373 · outbound

This paper cites Chandra and Dexter C.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Chandra and Dexter C

Reference 6

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no resolver link, observed 2026-07-11T22:54:26.613926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:37d303e99b9c3439bd032c50ff2261fcd173c45e273fd2f8b4d7cf20ddd4e9f3

Observation 5bfdd271-2e9b-4a7b-9a82-a1f40c12bfa3 · outbound

This paper cites Scalable training of.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Scalable training of

Reference 7

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:c62adce11f1cac029cc9f74ae534c5c4defd10aec541ff991525472317557cd5

Observation 41e563e9-da40-46b7-aa41-53e0bb114709 · outbound

This paper cites an unresolved cited work.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:ceecf4ce896719788f61546793244f25836abe1b35aa5cd0885962ad77affb35

Observation b082fb5d-fbdb-42b1-b007-c2002cac5ee0 · outbound

This paper cites Tetreault , title =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Tetreault , title =

Reference 9

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:e90dbe6f1b7cc457b70a6e32d55bb3b9b4eeeec625cabb76f1c76932b5d13a6b

Observation 6f128155-f297-4e14-8a82-8d078627c24b · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 10

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:c2d5717ff492ba5984ea74a6bf1af8be6e6c6158569b3b20a6989b86d869bb4a

Observation bb5954a2-fe3b-49d9-8a7e-314ce63ed00c · outbound

This paper cites Cognitive Alpha Mining via.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Cognitive Alpha Mining via

Reference 11

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:d94805ac724c5be919991be9b4d30615b6e3e94ae9fb87577a6e00921466e0f8

Observation c4b4a41e-d5fe-4b05-9d37-bfa9280c954e · outbound

This paper cites Meta-Harness: End-to-End Optimization of Model Harnesses.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 12

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:aa73ee63498565b87de793c2bc86445cde72e8ee553e3bac5a7633d80454ee13

Observation cb52cf84-8b39-4611-a675-e2d3fa678b93 · outbound

This paper cites 2023 , url =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2023 , url =

Reference 13

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:40ad28e4d7639030784d727ced13d2b37564ac4833fca8dd36c9c2a1d17af64a

Observation aea12e16-46b0-4a42-bb11-46833239e353 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 14

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:3f3b4d27355771b263f47a5de1705d36ae491891acf420c878232aadb2a81898

Observation 02f75cc3-e429-410f-a0dc-77beb198aa5a · outbound

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

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 15

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:8de06ec4b0d3d980ea36bde26fbc1bc05eede84d56d837382c024d7e1f92e558

Observation 4c69052c-2092-4d20-96bc-f72af73e07d1 · outbound

This paper cites 2024 , url=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2024 , url=

Reference 16

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:1efd76d3f03aa3abfdffe2d4fabdba04efce710e8ee58a2343c2831c2b216a40

Observation 9a7cc3ec-24ae-49ff-97f3-7c483b8b3634 · outbound

This paper cites Joshi and Hanna Moazam and Heather Miller and Matei Zaharia and Christopher Potts , booktitle=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Joshi and Hanna Moazam and Heather Miller and Matei Zaharia and Christopher Potts , booktitle=

Reference 17

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:ad089c1cde8ee064f89a017339a36bb2549def2417a7939b727478243118ced1

Observation 5f7aac1b-2b21-425c-829a-cb7d69a1a65d · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Advances in Neural Information Processing Systems , year =

Reference 18

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:29da8b91cddd9455e7b8fb0ec20932f2bc42c7fc893abe27db089531ca1bc4bf

Observation 5494a512-fd99-4aa7-9758-b76739b517d8 · outbound

This paper cites 2024 , url =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2024 , url =

Reference 19

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:0c36e10d4dfe094c2644fedf1d68761fe82a137eb7a8de81493f72d736936819

Observation 4b77556f-e340-484b-b26b-44e3bcd664e4 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Advances in Neural Information Processing Systems , year =

Reference 20

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:4d3bc078285765b3bdee68fff082bc46d2ec3bb3eda0183d812b3baec0c88dc0

Observation 57e53116-db61-48da-879d-d379157cefc1 · outbound

This paper cites 2023 , url =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2023 , url =

Reference 21

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:145ab4e7c1e39d85c4391fde7ca43d67d159a22c42da6a30c0aa6a73fbefba33

Observation 1582f666-94c6-492a-b947-92692fbae945 · outbound

This paper cites Learning to Discover at Test Time.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Learning to Discover at Test Time

Reference 22

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:684f22fcd4bf122f68096382111004e81ec63046f17b11684f575ed7ba97a22c

Observation d152e17f-2588-45f3-bd4d-2d1b2bac4982 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Advances in Neural Information Processing Systems , year =

Reference 23

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:ad6e7d9ad5ceefd9698d235c3c7b23ffa8b19fb4a4e3b58642db833134d9582e

Observation 35522621-7071-471e-b7d5-3935fec35fef · outbound

This paper cites Proceedings of the 36th annual acm symposium on user interface software and technology , pages=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Proceedings of the 36th annual acm symposium on user interface software and technology , pages=

Reference 24

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:3c60a71ee1ae6bd6d136f2c0db45935e3371bd75d6e18ebeb0cd316e0b58eb90

Observation 81814a4c-5f21-4536-ab21-d4f7816f3daa · outbound

This paper cites 2024 , eprint=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2024 , eprint=

Reference 25

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:02de97a44c47f3a3e3093c8bf5697511758ffef56520e96881cbdf067f8d13b4

Observation eeead256-b75a-45ef-a71b-d3a83b552ac6 · outbound

This paper cites Nature , year =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Nature , year =

Reference 26

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:0cc5088037f02b315ed0c652b514824ab986df0bd7da56b1653c5309d1eaa81c

Observation 392e849e-42fb-44ec-aecc-8f339af3fd7e · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 27

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:9157a1f3e27b74979d9c7bf9c25ee825aca1e384f32231c93fed7a14be2da2e8

Observation 05c257e5-0efb-409c-9405-eae318b0426f · outbound

This paper cites 2025 , publisher =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2025 , publisher =

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:64892c3210a085485d612ae35cb2dd15408e6578fb70730e5299767ac05f7953

Observation 1d9e39ba-3c43-4e60-84b9-37a75cc3b7dc · outbound

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

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions The Fourteenth International Conference on Learning Representations , year=

Reference 29

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:b62fd6b86a0ff272c260400f699153576a6b275acf673cb902043a1067aed413

Observation 68da259d-989e-466a-886c-7fada839da1d · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 30

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:b6ee0f5b5347a2aeafa83743c1db5e8df6924ff15cd5b96c9b94c00d253eb3cc

Observation 089fc4c7-bb73-460a-a8d4-ff29236c0446 · outbound

This paper cites NeurIPS 2025 Fourth Workshop on Deep Learning for Code , year=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions NeurIPS 2025 Fourth Workshop on Deep Learning for Code , year=

Reference 31

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:eb1d5c0edb677f052c54981753debf428b5fb86dea3e201e102ffe09f0bbd71f

Observation caefba7a-80bf-4ef6-9ca5-4796d871b5e1 · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Forty-third International Conference on Machine Learning , year=

Reference 32

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no resolver link, observed 2026-07-11T22:54:26.613926Z

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:49aa58c5f980eb1cc69597c5e8185a807de8c5768c86a5a8b5413b10644a797e

Observation aba89a3c-3898-476b-97d9-fa785e2100f9 · outbound

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

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions The Fourteenth International Conference on Learning Representations , year=

Reference 33

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:b017d42476deef436760494d0d72245e90a0068fbbfcbdff6d65a26d19e31722

Observation cf90a336-611d-410b-9251-a6fb854dce6b · outbound

This paper cites 2025 , howpublished =.

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions 2025 , howpublished =

Reference 34

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source=arxiv_source observed=2026-07-11T22:54:26.613926Z digest=sha256:c4cc62dee89b31bb08367c695d1010ce7d5844f7f177ff6099ee38ad74e3b527

Pith citing papers

Observation 2f2850e3-1ff4-4ded-a509-7d8638f4e412 · inbound

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories cites this paper.

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions

Reference 15

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no resolver link, observed 2026-08-04T10:10:31.747172Z

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source=pdf_text observed=2026-08-04T10:10:31.747172Z digest=sha256:6448e1660e9a36058324f1fd3e62064661f0e3510f414d6ab26672c4ab32e40f

Observation 8267377e-a6bc-4f92-a280-ce0200db1205 · inbound

Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution cites this paper.

Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions

Reference 63

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metadata mismatch
local_arxiv, observed 2026-08-08T04:51:19.212993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:51:18.937093Z digest=sha256:941445708d3a3fa170319a47d50e3eded4e9066004d7b63167ee19c0917e27e6