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Paper Citation Record · LEDGER

Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.14505.

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

pith.paper-citation-record.v1
2402.14505 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:41:46.185636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:57.446888Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7c83ef48-7249-4236-a916-7e4cd6ae1362 · inbound

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction cites this paper.

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 21

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no resolver link, observed 2026-08-10T18:41:46.185636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:41:46.185636Z digest=sha256:0f14114fa868363267719427dc291565001e11114923e9a93fcf5b2322dcf9b5

Observation 795e4a3f-6735-48d2-8a02-3b8d42b1223f · inbound

Place Recognition Meet Multiple Modalitie: A Comprehensive Review, Current Challenges and Future Directions cites this paper.

Place Recognition Meet Multiple Modalitie: A Comprehensive Review, Current Challenges and Future Directions Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 69

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no resolver link, observed 2026-08-07T15:42:21.230838Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:21.230838Z digest=sha256:06d8824c38151c80ff327d296d57493594c40dda03993db2e691a84244ce9a5d

Observation c4c2517f-a1d0-48c8-b2e8-cdf0a355043c · inbound

ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models cites this paper.

ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 37

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no resolver link, observed 2026-08-07T14:37:41.768835Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:41.768835Z digest=sha256:4df4be04544ce2080aa59d0502605dc251411e643c2f897860af21e91873e01c

Observation 6360eb23-d16f-4019-ac1b-2544a9afd5f1 · inbound

Feature Complementation Architecture for Visual Place Recognition cites this paper.

Feature Complementation Architecture for Visual Place Recognition Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 42

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no resolver link, observed 2026-08-07T00:56:08.713463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:08.713463Z digest=sha256:92edae657742859f56616e59367c905f06efa763a027826338705a92e78e6644

Observation c0dc21c4-2409-47b6-8669-b56c27ecda59 · inbound

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models cites this paper.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 34

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no resolver link, observed 2026-08-07T00:42:48.798998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:48.798998Z digest=sha256:75dea3ef0ea3109c5b13ac276f7f3e0403f44317a9d9243e4c2191786d5355d0

Observation 4efbd6dd-a108-496a-8fed-aaf85c298fed · inbound

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition cites this paper.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 24

Resolution
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no resolver link, observed 2026-08-07T00:40:42.424333Z

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Unavailable: canonical work link unavailable.

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Observation c518d93a-2e89-46da-bc9d-fc59cc1869bf · inbound

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment cites this paper.

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 52

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no resolver link, observed 2026-08-06T21:16:46.304742Z

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Unavailable: canonical work link unavailable.

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Observation afccaae4-9feb-4545-a6c4-a87255fd012d · inbound

Hi^2-GSLoc: Dual-Hierarchical Gaussian-Specific Visual Relocalization for Remote Sensing cites this paper.

Hi^2-GSLoc: Dual-Hierarchical Gaussian-Specific Visual Relocalization for Remote Sensing Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:25.077512Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:31:25.077512Z digest=sha256:66f4d05a597097f23d20b34b40ec22d064e91d59b58fd33477b6fe5714cb1df1

Observation f50e26a9-9110-494d-9fc2-68adb85c445d · inbound

Beyond First-Order: Learning Riemannian Geometries for Invariant Visual Place Recognition cites this paper.

Beyond First-Order: Learning Riemannian Geometries for Invariant Visual Place Recognition Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:40:12.504912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T13:36:37.083800Z digest=sha256:84953cd50c53f05b980a1684fb35cb445ffa7048582af319df53d16c2bfd1b0a

Observation cdf39b29-1f34-4f83-b281-f618bb2a1048 · inbound

Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning cites this paper.

Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-21T06:29:42.183255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T06:25:55.388361Z digest=sha256:78690737dcb5c5f2f703da0afaebc1bf4a13d49214a13b01c133da190decd2d3

Observation 0e1d48ab-f3f7-47f8-8ec1-cb6879e2c609 · inbound

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation cites this paper.

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 12

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metadata mismatch
arxiv_id, observed 2026-07-01T22:56:19.445962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:657edce2240a5c9fca96933198e08938d778a846f35514a583c8b57f180aac1e

Observation ec625559-edbd-4f07-8487-babdef456709 · inbound

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection cites this paper.

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:29:57.448388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T00:35:38.735712Z digest=sha256:f340371c7338c7d56cbffbf187c1f533e78eec7d909d8b493d439bda59f57e18

Observation 62a2f579-7319-4b3e-b2ac-d19e8fc668fd · inbound

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection cites this paper.

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T12:35:16.147653Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:35:16.147653Z digest=sha256:9325d611ef18e3ca527d61d41a9d7389d5ba115c8ec5dac42720243ae6e92fc4