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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:21.230838Z

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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  • verified fuzzy0
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  • 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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:21.230838Z digest=sha256:9e1e19f6dc91e92d18fca63d5479c7b451754fdc02ef282e815b201c783bcf91

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:41.768835Z digest=sha256:d709afe4454afe750019f3b9c222c749b23983b6062a1d1e81e1f72dbd12d402

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

Resolution
unresolved
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:f211fc5bd2212653967438992cb20319b1a54fd8c77a4161bff44d8e39e5f0b7

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

Resolution
unresolved
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:ec40ee7fe34c86ff3de05e41222644eceaaa30aad2a068eb75f752207facdaf6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:42.424333Z digest=sha256:faac99c5bd54003d025b3653d5cdfaec003d81de1e9cd508e788f861858664a6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:46.304742Z digest=sha256:2c55fb9aff5625066cf3acc1f191c75eddae136f63460170679da5d24fcb5fac

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:31:25.077512Z digest=sha256:24acc3a7f4f9eb240de5ca062f3ef9b3d5f16cfeebb058b306f303da073e96bf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T13:36:37.083800Z digest=sha256:a013e8eb87a8ac728928e2f83a712674984aae115b1d530b0ec11dd8f4b58b4c

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T06:25:55.388361Z digest=sha256:99732bdbf4038bc357ef84e06a78393e99c4a1f674b07fe691e4128ae4625ac5

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T14:58:10.771338Z digest=sha256:2dcd55977bf5a754601956cca27e4310983c8af9decd6c305f10f96b58c18b04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T00:35:38.735712Z digest=sha256:086f45cc76e5bdc94583cffd5ac9605eaa324266a0b2de3483aeb14f057a0840

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:35:16.147653Z digest=sha256:f9146b481835de0d2515169b2056844e7a02ef175a88ad99501574019ad411f9