Paper Citation Record · LEDGER

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.18286.

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

pith.paper-citation-record.v1
2504.18286 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:46.754617Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

21 of 21 outbound references displayed

verified exact2
verified fuzzy14
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffee897e-c95b-43b7-a948-342ba9d85a70 · outbound

This paper cites Robotized and automated warehouse systems: Review and recent developments,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Robotized and automated warehouse systems: Review and recent developments,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:24:46.687349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f73d8ca-65ff-4d19-a4d4-d17fa7bbe924 · outbound

This paper cites A Comparison of Deep Learn- ing Models for Pallet Detection in Industrial Warehouses,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis A Comparison of Deep Learn- ing Models for Pallet Detection in Industrial Warehouses,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.974950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a086c2b-b9c8-404a-ae46-eb4ef6e1b7e4 · outbound

This paper cites Deep Learning Based Re-Identification of Wooden Euro-Pallets,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Deep Learning Based Re-Identification of Wooden Euro-Pallets,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.964377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a3f3256-ef51-4efd-9200-e34d1fc964e3 · outbound

This paper cites Generating Embedding Spaces for Re-Identifying Pallets From Their Chipwood Patterns,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Generating Embedding Spaces for Re-Identifying Pallets From Their Chipwood Patterns,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.952497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37338040-3f17-47ce-ace8-7feff21fbd0e · outbound

This paper cites Re- identification Robustness Over Time - The Case for Synthetic Training Data,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Re- identification Robustness Over Time - The Case for Synthetic Training Data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.939755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d45e215e-3e16-440d-a3b8-1a343ac84886 · outbound

This paper cites Lifelong person re- identification via knowledge refreshing and consolidation,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Lifelong person re- identification via knowledge refreshing and consolidation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:24:46.705207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511af0f5-9b3c-4811-b979-f0dceff47c54 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Deep Residual Learning for Image Recognition,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:24:46.709021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2f76cc3-14d0-4d38-a978-020a05ac22ff · outbound

This paper cites DeepChange: A Large Long-Term Person Re-Identification Benchmark with Clothes Change.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis DeepChange: A Large Long-Term Person Re-Identification Benchmark with Clothes Change

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:24:46.712163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8b5fe2-b272-440f-8e72-67437af2efd5 · outbound

This paper cites Beyond Part Models: Person Retrieval with Refined Part Pooling (And a Strong Convolutional Baseline),.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Beyond Part Models: Person Retrieval with Refined Part Pooling (And a Strong Convolutional Baseline),

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.916762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72c08c6a-d014-4ba3-aa48-0a898a841e5b · outbound

This paper cites Omni-scale Feature Learning for Person Re-identification,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Omni-scale Feature Learning for Person Re-identification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.906624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7120c46-03ad-47b7-9fc1-66755a13c675 · outbound

This paper cites Scalable Person Re-identification: A Benchmark,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Scalable Person Re-identification: A Benchmark,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.896718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24891ab0-205f-488e-9704-8659e0c92da4 · outbound

This paper cites Deepreid: Deep Filter Pairing Neural Network for Person Re-Identification,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Deepreid: Deep Filter Pairing Neural Network for Person Re-Identification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.887225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0dd0cb4-bbfd-4e27-9da0-e230b2fa392c · outbound

This paper cites Evaluating Appearance Models for Recognition, Reacquisition, and Tracking,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Evaluating Appearance Models for Recognition, Reacquisition, and Tracking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.877069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e31fa64c-8bac-456e-b4e9-9262dc73d944 · outbound

This paper cites Deep Learning Methods for Multi- Species Animal Re-Identification and Tracking–a Survey,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Deep Learning Methods for Multi- Species Animal Re-Identification and Tracking–a Survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.867317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77995789-6da9-4b83-9a11-aea8a2eeb5f6 · outbound

This paper cites Towards Re-Identification for Warehousing Entities-a Work-in-Progress Study,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis Towards Re-Identification for Warehousing Entities-a Work-in-Progress Study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.856736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04ff946d-f173-4781-9a87-03d4c11e0545 · outbound

This paper cites pallet-block-502 – A Chipwood Re-Identification Dataset,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis pallet-block-502 – A Chipwood Re-Identification Dataset,

Reference 16

Resolution: verified exact; doi, observed 2026-08-16T10:24:46.796314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1772a868-c907-419e-80dd-75ca0354d98d · outbound

This paper cites On the Applicability of Synthetic Data for Re- Identification,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis On the Applicability of Synthetic Data for Re- Identification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.846985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c155b25a-ab32-4813-aade-733dc32e86a9 · outbound

This paper cites The Faiss Library,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis The Faiss Library,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.836853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd14280f-2a03-4e89-9f28-a4b8215a4a3c · outbound

This paper cites pallet- block-98382 3270,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis pallet- block-98382 3270,

Reference 19

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:24:46.826230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df0a33aa-4608-446b-adc8-b75bd6f6edec · outbound

This paper cites pallet-block-32965 – A Chipwood Re-Identification Dataset,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis pallet-block-32965 – A Chipwood Re-Identification Dataset,

Reference 20

Resolution: verified exact; doi, observed 2026-08-16T10:24:46.785699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87f5211b-f8d4-4a95-a8d7-b8d840867c97 · outbound

This paper cites pallet-block-2696,.

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis pallet-block-2696,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:24:46.816182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.