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Paper Citation Record · LEDGER

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.22082.

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

pith.paper-citation-record.v1
2509.22082 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:46.777035Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact5
  • verified fuzzy1
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf32afd3-5280-4604-811f-e5129dd50f2f · outbound

This paper cites Dimitar I Dimitrov, Mislav Balunovic, Nikola Konstantinov, and Martin Vechev.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Dimitar I Dimitrov, Mislav Balunovic, Nikola Konstantinov, and Martin Vechev

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:49:47.194162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.680140Z digest=sha256:959a091977e0189a7f36ffb91cae46af348f9a48cb18c644e1e227e8269ae6db

Observation 4e256c42-a149-4f88-8b3f-75b6380f2958 · outbound

This paper cites Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:49:47.100839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.693565Z digest=sha256:94cd3c1e63d0289fbf950342a38c0cbeebf5c1d854c949b7741bdb920c31122a

Observation d7ae59c2-3693-44e6-81ef-a4168b3ffbee · outbound

This paper cites URLhttps://doi.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URLhttps://doi

Reference 6

Resolution
verified exact
doi, observed 2026-08-15T15:49:46.884065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.707421Z digest=sha256:6d8faaf9de3ea7149f86f4c3cca85e4382b3ea09587f48ee094d28b0acab2eb6

Observation 1a56e6d8-7d7a-4338-9662-d2c5d752ad3c · outbound

This paper cites URLhttps://dl.acm.org/doi/10.1145/3762639.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URLhttps://dl.acm.org/doi/10.1145/3762639

Reference 7

Resolution
verified exact
doi, observed 2026-08-15T15:49:46.864941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.714632Z digest=sha256:f3467143be98f7cb6d25cf8be1ca52a71b89c9d32ac9268f72fd6629be0a7bc9

Observation 03933caf-4d5d-485f-aa43-ae5ad3d73ed0 · outbound

This paper cites URLhttps://doi.org/10.1145/3637528.3671573.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URLhttps://doi.org/10.1145/3637528.3671573

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.725462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.725462Z digest=sha256:77619856cdd0a91e30126a30b80f6c2fa0517f9eb38cbea6a4836fea2e6fa873

Observation 4301168d-542a-41ca-9589-cbc059b48489 · outbound

This paper cites URL https://doi.org/10.1038/s41746-024-01226-1.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URL https://doi.org/10.1038/s41746-024-01226-1

Reference 11

Resolution
verified exact
doi, observed 2026-08-15T15:49:46.846593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.737230Z digest=sha256:199e976a4924f743718c2588700865eb9feae9588acfdcfb261314f64ff53c4d

Observation 8666ccc8-2f4d-45aa-bb1c-e2b158f88240 · outbound

This paper cites URLhttps://www.mdpi.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URLhttps://www.mdpi

Reference 12

Resolution
verified exact
doi, observed 2026-08-15T15:49:46.828567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.742283Z digest=sha256:736d33cacd232ac61d07d44b314e82d395e9ef43444550f5f54cb7371a75bdd3

Observation efb6caf8-2092-4e19-ad9e-03974ac2a725 · outbound

This paper cites A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.748437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.748437Z digest=sha256:4e595aa6210794df66e6b4f04d6d233c17f53e0079988dffc2cb812cf1757938

Observation 516b385b-c8c5-4d2d-8f3f-cf6352b67647 · outbound

This paper cites URLhttps://doi.org/10.1007/ s10462-025-11248-0.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URLhttps://doi.org/10.1007/ s10462-025-11248-0

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.754383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.754383Z digest=sha256:47c97dab03f936408a359be3eb09212e4285711711d973abff13a4571f419522

Observation 5eace3d2-38ee-472e-a012-965d0fd38318 · outbound

This paper cites Graph-Theoretic B\'ezier Curve Optimization over Safe Corridors for Safe and Smooth Motion Planning.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Graph-Theoretic B\'ezier Curve Optimization over Safe Corridors for Safe and Smooth Motion Planning

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T15:49:46.934993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.765735Z digest=sha256:ad1fd8e4812b08c4092c46fee039e64345b9910c50f64ca27dbde70de5de0d37

Observation a44d6ff5-098b-469a-a8dd-531be6e92480 · outbound

This paper cites Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T15:49:46.910515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:49:46.777035Z digest=sha256:bd3b8975871c408c2fd179fc2d20a194a0c26199c43a890cbad20d18716a49be

Observation aa2a93e4-5636-46ef-ae4f-96e5503c0a48 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Deep Ensembles: A Loss Landscape Perspective

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.700633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.700633Z digest=sha256:1378ec4f34c026117620238eabe3a739d49ac0f94b40d6fb98dabb3ca26ccaa7

Observation c06c39ab-a963-42d4-ac5b-cfaf6fc198d7 · outbound

This paper cites REPAIR: REnormalizing Permuted Activations for Interpolation Repair.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning REPAIR: REnormalizing Permuted Activations for Interpolation Repair

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.719847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.719847Z digest=sha256:566e3df16df739519c023f2dc147e490738c9b5c33b14f2db242b07cfd0b2ddb

Observation 537622e4-d4ec-413b-8f1b-936ec66eaf2d · outbound

This paper cites Threats to Federated Learning: A Survey.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Threats to Federated Learning: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.731705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.731705Z digest=sha256:77e85bce14d525d4e4f473bae2f4b9cf259dfc715a991f61a593575dac9acb51

Observation b97f3dd0-d878-4bab-8f59-217dbfc03a39 · outbound

This paper cites URLhttps://doi.org/10.1016/j.robot.2025.

Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning URLhttps://doi.org/10.1016/j.robot.2025

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:46.674256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:46.674256Z digest=sha256:bab9ae77ca1aea2b9d1533cd4fdbe1279cfbacda749e7ff237b761affd0d9111

Pith citing papers

No inbound Pith citation observations are available.