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Paper Citation Record · LEDGER

Federated Mutual Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.16765.

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

pith.paper-citation-record.v1
2006.16765 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:55:15.038994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:52:17.065932Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 63928846-d83e-4416-a926-aec72f698096 · inbound

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning cites this paper.

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning Federated Mutual Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:52:17.069176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T23:49:05.925589Z digest=sha256:fe934d5148ae229dbe826bd42c2474557a25c675f22a0fc7287e532e5753209e

Observation 0b5fcd88-f0dd-4b24-b3c8-4d54a9a96d96 · inbound

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark cites this paper.

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Federated Mutual Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:55:15.038994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:55:15.038994Z digest=sha256:5f76642a452f0118d9243901228c96f7476a558871912a2209c0f8dd07cad62c

Observation 24159cb1-0e1f-4e62-81af-10606aab1cba · inbound

Heterogeneous Federated Learning with Prototype Alignment and Upscaling cites this paper.

Heterogeneous Federated Learning with Prototype Alignment and Upscaling Federated Mutual Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:03.573369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:03.573369Z digest=sha256:b6be899f1645dbf0e32947d1d0a71d364281e1d7b48744ca6bed9e1e51b7a46d

Observation 5d864a07-255b-44c4-a23b-9a0acb88fbf5 · inbound

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments cites this paper.

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments Federated Mutual Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:05.327855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:58:05.327855Z digest=sha256:824878cc8ecb753e17f568069e5714e741151043e8b887974b90f51ce3e891f1

Observation 64f808df-e955-4269-aa97-0e4a01210bf2 · inbound

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity cites this paper.

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity Federated Mutual Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T11:37:42.411641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:37:42.411641Z digest=sha256:3cc5c199561326625ae613728c0bb683b9e407b83c10601d1e81561e2a2cf812

Observation 8780bad1-fb04-41f4-b24b-f18393737d0c · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Federated Mutual Learning

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:56:05.907360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:8f23d52f52ea9dd7d3faf5e2f0c5d5deace2f80d5edecd83d74db36bd0f46a33

Observation e30af74b-c4d3-4f3f-97bb-c9971afd6d94 · inbound

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning cites this paper.

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning Federated Mutual Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:42:30.415302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T07:41:51.513934Z digest=sha256:67fdc1a21e3df30632ea0a47a776dd84190928871bd3277f7eebc6fcc94e4f46

Observation 2986ac0d-7d1a-481a-aee5-27e43e15f2ee · inbound

FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning cites this paper.

FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning Federated Mutual Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-30T20:41:07.725136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:41:07.725136Z digest=sha256:3f4997a86da361ae1bb655d9e1d7aa34cac27a199a808c3d04b8c43e3d65bb9f

Observation 353b81b6-5ae0-4121-8126-016fc10ea2c0 · inbound

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning cites this paper.

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning Federated Mutual Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T21:03:55.017965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:03:55.017965Z digest=sha256:698f3f235c89f05c9398d3633143e2dcedce719a832fb0f5e85820d9c832b517