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Paper Citation Record · LEDGER

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2506.11803.

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

pith.paper-citation-record.v1
2506.11803 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:42.528027Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:20:50.996233Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afa6fafe-13dc-45fd-a331-aa3fa9740630 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Generative agents: Interactive simulacra of human behavior,

Reference 1

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no resolver link, observed 2026-08-07T04:10:41.325236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.325236Z digest=sha256:21aae3bb310e151c4413b6ba401fd8804ebf2fe16f899ccffb06419c1dd41e8d

Observation ea6b15a1-d5eb-4bdb-bc6a-91a74d8f3756 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 2

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no resolver link, observed 2026-08-07T04:10:41.330147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.330147Z digest=sha256:547262bb25b02e2961b368424eca3a65735c6269f1cac1ddd1ef812c6cb1a6d5

Observation 2467ec60-0d05-4919-a10a-4a2f7079d218 · outbound

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

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 3

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no resolver link, observed 2026-08-07T04:10:41.334878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.334878Z digest=sha256:e9715f1dd5bce670c45b1da00449f535de927b11549cf6c7d73456520fd07edb

Observation 15846eae-8c9a-43ef-b68b-eb636dd63cb0 · outbound

This paper cites Coordinated multi-robot exploration,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Coordinated multi-robot exploration,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:49.669464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.339412Z digest=sha256:934054d66ad1dc3f6ced6026006e9a133df134b518694af958a698cb208069c1

Observation 942c67fb-874e-4b68-9db7-39dd672cf269 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 5

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no resolver link, observed 2026-08-07T04:10:41.344477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.344477Z digest=sha256:33ea1af032819564659f5e3a9b02dec301fa91ba91b6a4e5163db3732b34a2fb

Observation 4a3b1749-6683-4ae2-a53f-1b7ae7a4f4cc · outbound

This paper cites Lamm: Language- assisted multi-modal instruction-tuning dataset, frame- work, and benchmark,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Lamm: Language- assisted multi-modal instruction-tuning dataset, frame- work, and benchmark,

Reference 6

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raw_fallback, observed 2026-08-07T04:10:49.312514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.349139Z digest=sha256:927ff837172a9d5d5cb42860515c2659e448b5249b53496c157f9eec16932524

Observation af48ac2b-c579-43b4-a091-bed3a5347640 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 7

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raw_fallback, observed 2026-08-07T04:10:49.031370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.354023Z digest=sha256:ee11e4ac3e4dc6cdde12a31a8f954159ec900396a4001a0c8c7da6c69d5dbfa4

Observation 9c7e3929-d5c9-4e23-a1bf-b0f002dc940c · outbound

This paper cites LLM Multi-Agent Systems: Challenges and Open Problems.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems LLM Multi-Agent Systems: Challenges and Open Problems

Reference 8

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no resolver link, observed 2026-08-07T04:10:41.358929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.358929Z digest=sha256:c9b139876b4b3c7ea5109cc380b2ab66680bc30cdccae790a78b18d5e4453dd8

Observation df940994-2353-4cbb-b298-2580ab026c95 · outbound

This paper cites Large language models empowered agent- based modeling and simulation: A survey and perspec- 10 tives,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Large language models empowered agent- based modeling and simulation: A survey and perspec- 10 tives,

Reference 9

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raw_fallback, observed 2026-08-07T04:10:48.816351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.363540Z digest=sha256:ccc1d3e7d50611c7bbb496fe30f60fb7714cff3396da7e58c8c0510dc5edbf25

Observation 7211b4c0-47c0-4d31-96e0-91825a1790cf · outbound

This paper cites Learning multiagent communication with backpropagation,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Learning multiagent communication with backpropagation,

Reference 10

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raw_fallback, observed 2026-08-07T04:10:48.606793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.367630Z digest=sha256:965d9a168634ae88fbfd52c77ffed35c90af0f2b720071a52879f348247b32cf

Observation d1692a16-0373-47cb-9f4d-56167e52f125 · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Learning to communicate with deep multi-agent reinforcement learning,

Reference 11

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raw_fallback, observed 2026-08-07T04:10:48.406331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.371548Z digest=sha256:8ec8e0dbe4991d69efa03ba42d5666158d5b533b56951485989f219c2ec333d4

Observation 14384e2e-1055-4083-bd66-8c14a619f43a · outbound

This paper cites Tarmac: Targeted multi-agent communication,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Tarmac: Targeted multi-agent communication,

Reference 12

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raw_fallback, observed 2026-08-07T04:10:48.191741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.375733Z digest=sha256:8c4966060a65f5b5d5dbd10ef048bb3bede322db0e0239ad73eb4a7af6ae40e1

Observation 9929b8e1-fb29-4cf5-ae54-ecd808bc2e23 · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,

Reference 13

Resolution
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raw_fallback, observed 2026-08-07T04:10:47.810199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.379908Z digest=sha256:c79cde1634ba715cf01f8f92d728b1da3060feab508580ea73da9b2bd2e4597e

Observation 71f28fd0-a99a-4bd1-b743-c6ee5f494998 · outbound

This paper cites Learning distilled collaboration graph for multi-agent perception,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Learning distilled collaboration graph for multi-agent perception,

Reference 14

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raw_fallback, observed 2026-08-07T04:10:47.490513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.384290Z digest=sha256:9f070d5ca023198ba93919de2f86a7a57723ec9feab1464a7ab704ad2de109b5

Observation 814ab070-fcc0-4aa1-bc9b-a6b686755b0e · outbound

This paper cites Mkd-cooper: cooperative 3d object detection for autonomous driving via multi-teacher knowledge distillation,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Mkd-cooper: cooperative 3d object detection for autonomous driving via multi-teacher knowledge distillation,

Reference 15

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raw_fallback, observed 2026-08-07T04:10:47.140007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.391725Z digest=sha256:1640ddf6fb445e56b948029e292ecdba4a40b8cc3cd2a590c9bbdd19a64347ea

Observation 3c1aa75f-3d44-49ea-9fae-acc82f7a238a · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Lora: Low-rank adaptation of large language models,

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T04:10:46.915552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.410980Z digest=sha256:f5cae35808e54fbb0c737bd913b020c990ea18ff640ba2dcb84aa39a59d5f0b2

Observation 50d03764-f571-4b2c-87e6-fd6d9761cef1 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Parameter-efficient transfer learning for nlp,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.430493Z digest=sha256:74016e3969ea2a2221e1622dd1c7fe8e33ee3a5b32c7bd27f0ba137688f08078

Observation 76da8937-7454-4cfb-b332-03ab94e8f3ae · outbound

This paper cites Emp: Edge-assisted multi-vehicle per- ception,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Emp: Edge-assisted multi-vehicle per- ception,

Reference 18

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raw_fallback, observed 2026-08-07T04:10:46.387062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.448274Z digest=sha256:4f4c6b15b2414ff63b8485355d1db6879dda268cc05562b795b3998f2a748432

Observation 821fcc1b-a4d8-4c71-8402-776bb77d7955 · outbound

This paper cites Edgecooper: Network-aware cooperative li- dar perception for enhanced vehicular awareness,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Edgecooper: Network-aware cooperative li- dar perception for enhanced vehicular awareness,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.470994Z digest=sha256:1dcbbed3e242aa3cc4dd48e02b3e21fd208c04a08fe79aa42b05d91a2451913e

Observation f959833d-b6fd-47d5-986e-57bb935805ff · outbound

This paper cites Cooperative perception and localization for cooperative driving,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Cooperative perception and localization for cooperative driving,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:45.945619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.487327Z digest=sha256:76523a8ecbcc2e594e6cd089d85626f0db1ecaa3c5a7a52ee124082f7c707090

Observation 0b6199f1-c9fd-4e90-ac27-d0dd981b4b9f · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 21

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no resolver link, observed 2026-08-07T04:10:41.496566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.496566Z digest=sha256:acf3d38361b0516f45164be737fa8e1ff2c18bf00a021d46cefee37bef7d72bb

Observation a8e34cc2-9bef-4822-a816-df614b025a2c · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems The power of scale for parameter-efficient prompt tuning,

Reference 22

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raw_fallback, observed 2026-08-07T04:10:45.691973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.510547Z digest=sha256:8c761c5b5f5a0fa85cb62cbfd47c0ccd302454e065068c3029b404493a270164

Observation 5ebc8891-871b-48af-96b6-5af6d91fe124 · outbound

This paper cites Learning to prompt for vision-language models,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Learning to prompt for vision-language models,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:45.518220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.522189Z digest=sha256:6feae285964c52093113ea2c81237dd2a59a5c0e6b4ced5c882f1f6266786193

Observation e22cac47-19fd-48b7-8099-29401fa208da · outbound

This paper cites Visual prompt tuning,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Visual prompt tuning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:45.347953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.532810Z digest=sha256:5b0d4613723867cf93054016804a58acfe65f0b3059bd2a00b37389f88cb71df

Observation f29d284f-e13e-4d3c-9b55-6abfcfcf8a41 · outbound

This paper cites Adaptive parameter-efficient fine-tuning for vision transformers,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Adaptive parameter-efficient fine-tuning for vision transformers,

Reference 25

Resolution
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raw_fallback, observed 2026-08-07T04:10:45.122569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.547854Z digest=sha256:94da6b646f1d0dcf046f919bc5ece08f3657b0f1a07054f6afe51b896ec17e65

Observation 37c431fd-b76f-4943-9a2d-1c3417bc8fc0 · outbound

This paper cites Com- pacter: Efficient low-rank hypercomplex adapter layers,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Com- pacter: Efficient low-rank hypercomplex adapter layers,

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T04:10:44.879756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.563887Z digest=sha256:72438654952720d53843e722c48c949238b54428b5438f624928cbe56a91c69b

Observation 314c6576-7453-4729-8569-67bf233a73f0 · outbound

This paper cites an unresolved cited work.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:10:44.686102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.578077Z digest=sha256:8f526a9cddfd305eb81599501ece3c6426dd5cc43d6b3edccda6208cf4b9632a

Observation 3ef1ff6a-7f7f-4f62-b88b-2b8554c70cf8 · outbound

This paper cites Deprl: Achieving linear convergence speedup in personalized decentralized learning with shared representations,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Deprl: Achieving linear convergence speedup in personalized decentralized learning with shared representations,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:44.499756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.597864Z digest=sha256:1a5342cea459dfbbcd607e3cfcd2764475b403e6372ac6733b0a2ea94a2d721f

Observation 296b5f22-01bd-48b6-aeca-193bcf5513f6 · outbound

This paper cites Stochastic gradient push for distributed deep learn- ing,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Stochastic gradient push for distributed deep learn- ing,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:44.303060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.616070Z digest=sha256:7f08aac9c2a23d7fcb61580c4ee3d4085b46683dc501299248e3fa914041eeb2

Observation 6fa5542b-2cb5-46b8-8353-425bfae625fe · outbound

This paper cites Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:41.694597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:41.694597Z digest=sha256:6fb7b76189700697d75ea1045684134af637faa26d7900abc7e9086ca21b047b

Observation 45b5ff0c-0c2b-436d-bc9f-675d8a0e9dab · outbound

This paper cites Deep hashing network for unsupervised do- main adaptation,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Deep hashing network for unsupervised do- main adaptation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:44.120613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.833680Z digest=sha256:47c81067fb49fdbf01d7308fc06f862975a415c3692a5109bd45a19b05c3123b

Observation 2823c6b2-24e2-487c-bfb0-ce4334caebf8 · outbound

This paper cites Geodesic flow kernel for unsupervised domain adaptation,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Geodesic flow kernel for unsupervised domain adaptation,

Reference 32

Resolution
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raw_fallback, observed 2026-08-07T04:10:43.931694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.929448Z digest=sha256:8c34307365e926cfaac394ab1d4921fae6930a50026031ea075022b29e6c731d

Observation 1ed91973-6cee-4921-9ec3-32b9575e3d13 · outbound

This paper cites Moment matching for multi-source domain adaptation,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Moment matching for multi-source domain adaptation,

Reference 33

Resolution
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raw_fallback, observed 2026-08-07T04:10:43.752848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:41.986855Z digest=sha256:521ac7f46f792c4d4b12ec42c1e3143613af36027ffc197f286d2e8cfe7c780c

Observation 2a03393d-bb1b-4561-b778-2e215b4f7517 · outbound

This paper cites Think Locally, Act Globally: Federated Learning with Local and Global Representations.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:42.051401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:42.051401Z digest=sha256:1ae6bbda7eb5b34e69a922d98eae7aed60732ce9e6dd1b8ce318db703459afb8

Observation 382375e6-2405-4e1d-ba07-1737ac3e815e · outbound

This paper cites Exploiting shared representations for personalized fed- erated learning,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Exploiting shared representations for personalized fed- erated learning,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 572bbead-60a3-4a6b-8cad-23a4f512e84b · outbound

This paper cites Automatic differentiation in pytorch,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Automatic differentiation in pytorch,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:43.423503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 26359246-0f9c-4fc3-873e-ea16207b9847 · outbound

This paper cites Optimization methods for large-scale machine learning,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Optimization methods for large-scale machine learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:43.127566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a92c44f0-0ac9-42ea-807a-64ebf0885610 · outbound

This paper cites Adaptive Federated Optimization.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Adaptive Federated Optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:42.364949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f357125f-9210-4139-9e26-8bdb852dca42 · outbound

This paper cites Distributed Subgradient Methods for Multi-Agent Optimization,.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Distributed Subgradient Methods for Multi-Agent Optimization,

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cfae9502-4693-49ab-8553-68094a1d7ec9 · outbound

This paper cites an unresolved cited work.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:10:42.791972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:10:42.528027Z digest=sha256:1527fbfde8017beaeb65a1337500dc059def3d412ccb0b3e022dbd96ae6da111

Pith citing papers

Observation 892ce47d-c3f6-4369-a6c2-462e93dfa8a1 · inbound

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use cites this paper.

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T11:20:50.996233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:20:50.996233Z digest=sha256:1f423cd2311294356a05ac58365e300123bc0eb05edc37951c315f1ae94d6d35