Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.339412Z digest=sha256:3b9cbdb9a57a196c4c7cdc3f785650d6a8f3965f145917a4c3ae9aee85e5f6fb

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

Resolution
unresolved
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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.349139Z digest=sha256:1afdf5addb25b848224d91bcffef216c16897cc8e0ff3ab927ab33363c7bddad

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.354023Z digest=sha256:c14633edb13979e02caa4e45259bb2a66c95dbec2d29c07f4894f0800f021750

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

Resolution
unresolved
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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.363540Z digest=sha256:7e66b7cab114225dc63533a49ed22d41a67c2591bd15fea1cb6c63dbb3658255

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.367630Z digest=sha256:8584db217a397ef065f11997c85a47bc6de2d78c4066911d2fb822796f70e0ac

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.371548Z digest=sha256:c05f8070642f043e423813d2fdbc23a5fc30b3baa07668aa6af1db97802ae52c

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.375733Z digest=sha256:228833eff837559e5582dea79b7e477c34114b370ae11e3a911119e1f7a6b16d

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.379908Z digest=sha256:5f3c5cf9e8fcb4477e1d3d46f3a68685697d1ef8231d6b78c262c075ca28b100

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.384290Z digest=sha256:9b7ff2e809ccffaf4379c528a6a6b748fa21a1f1a78594d68d4ed14b7931ddb0

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.391725Z digest=sha256:d817e8c581f1e227e910bc0dedcf1db09ad0a6623f0473902bcf08452c6a5786

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.410980Z digest=sha256:6bc9987672e245e0559ac6b73d0bc14695339372398caec95cadd1aba8e90fd3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:46.603311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.430493Z digest=sha256:e447e995c91130a26282292fc117933a8d91edb44627bda26e6986f82cbc6bb3

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.448274Z digest=sha256:7d1b67d70a4c65b1da014f3aa4f9c753f6d8725edd662d634ae47d9456e8cf14

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:46.135000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.470994Z digest=sha256:3a726207a1ea4d2e5c3c99fbed5a656bd514f32def27403c7bd0c5bc4dabcf8a

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.487327Z digest=sha256:e8e1f7264b50810ddc179d1b28ef718a5767191f6a7cbec036dac4d20612d290

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

Resolution
unresolved
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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.510547Z digest=sha256:64490c4869da76f511afd8f1c0eb87f1f2dd9303ba0cf032dc0ab2d0127a301d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.522189Z digest=sha256:023def91a575fd02794bfdce49840f574d1f14ffb7212455cd19b68c24f3fc54

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.532810Z digest=sha256:7cd64369da2e56fe930619fc511f0f594d2ffe4ff353e7c37a3ab495c142d5c4

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.547854Z digest=sha256:f1de13b21cef25a9745d2687fc922e6ab500a37ee0287a30f9df3d684138f7f2

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.563887Z digest=sha256:ea222abb7301a7cde9f6a6a908383600efa297bc0a5f569b17fa62ca9a868040

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.578077Z digest=sha256:241c9272971937384190dda356bd402c0853cc9cc9fba27940f630daf8464c4a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.597864Z digest=sha256:254fb0ce3934e88e6afd4ba1a25ad07ce5bd514690da016029abe5b1c9baa40a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.616070Z digest=sha256:0381f4aedf54f12e6fa24694d43e5858a85fe6c6758d7f137c83cfa0c0de27da

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.833680Z digest=sha256:80e75a6b171d567f7e2633390bf7253e184fdd6c6378620d63eb785fb2db5a8e

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.929448Z digest=sha256:c5d669102bb987c8cf5939b8acda68d47a6ed1681fb022d78baae29127f4c572

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
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:41.986855Z digest=sha256:68b136a763d3b0f0ecca83fb309a1166a07e18de1a73df6dff84cf38c88dd82a

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
raw_fallback, observed 2026-08-07T04:10:43.574985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:42.141932Z digest=sha256:4ca98a07440f7930619f394dbbdd39f983f5deca6b245d609800f6d48c555794

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:42.213705Z digest=sha256:0a7099396c25e264ed97c77b8af35695d8ef5483701508f02127fe217ecd4ab1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:42.278739Z digest=sha256:e9179c3f5815b6552a784018db19feb5dbb0d3c4eea057b2517e9ca1ab69dd67

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.

source=pdf_text observed=2026-08-07T04:10:42.364949Z digest=sha256:aac92071a8d5cb58f8065fb9270575b724a425df885b8fee027a2aa0d248545e

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
raw_fallback, observed 2026-08-07T04:10:42.946584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:42.458581Z digest=sha256:adb88875782deb6bf8433ace40b643484085238746c509978416d4008c50a04f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:10:42.528027Z digest=sha256:5fb0d563eb714fee549ea2269fddbbfb66d05edddfbf360f9a5d1d27a28f36af

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