Paper Citation Record · LEDGER

Multi-Object Tracking Consistently Improves Wildlife Inference

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2605.16672.

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

pith.paper-citation-record.v1
2605.16672 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T18:12:48.979853Z

measured 35 of 35 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

35 of 35 outbound references displayed

verified exact7
verified fuzzy25
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5db6f97-5105-46a0-a220-c308f27c1a40 · outbound

This paper cites WildlifeReID-10k: Wildlife re- identification dataset with 10k individual animals.

Multi-Object Tracking Consistently Improves Wildlife Inference WildlifeReID-10k: Wildlife re- identification dataset with 10k individual animals

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.815055Z

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 7593bd35-9d07-4a66-88ec-bcb6ab32eb15 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

Multi-Object Tracking Consistently Improves Wildlife Inference BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:13:37.230870Z

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 8166f47b-f134-406b-944c-08c6797afd6c · outbound

This paper cites (1997).Public transport and cycling: Experience of modal integration in ger-747 many.

Multi-Object Tracking Consistently Improves Wildlife Inference (1997).Public transport and cycling: Experience of modal integration in ger-747 many

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T18:13:37.006342Z

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 21b9612d-03e7-4843-a949-231c0bea05d4 · outbound

This paper cites Observation-centric SORT: Rethinking SORT for robust multi-object tracking.

Multi-Object Tracking Consistently Improves Wildlife Inference Observation-centric SORT: Rethinking SORT for robust multi-object tracking

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.872978Z

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 3d7ebaa3-e66d-44a6-926f-533d408d08bd · outbound

This paper cites A review of camera trapping for conservation behaviour research.

Multi-Object Tracking Consistently Improves Wildlife Inference A review of camera trapping for conservation behaviour research

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.875193Z

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 d5610044-e821-469f-b4ef-475348be102b · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Multi-Object Tracking Consistently Improves Wildlife Inference SAM 3: Segment Anything with Concepts

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:13:37.220149Z

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 08462061-138d-4bc2-aaf8-d6e63918927d · outbound

This paper cites Wildlifedatasets: An open-source toolkit for animal re-identification.

Multi-Object Tracking Consistently Improves Wildlife Inference Wildlifedatasets: An open-source toolkit for animal re-identification

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.878635Z

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 83010c21-7e3e-4343-a7a5-a0d7753ca816 · outbound

This paper cites Deepfaune New England: A species classification model for trail camera images in northeastern North America.Ecology and Evolution, 15 (11):e72174.

Multi-Object Tracking Consistently Improves Wildlife Inference Deepfaune New England: A species classification model for trail camera images in northeastern North America.Ecology and Evolution, 15 (11):e72174

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.883955Z

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 1ac1399e-1e8a-4043-ab20-e4ff1cf68fec · outbound

This paper cites Being confident in confidence scores: calibration in deep learning models for camera trap image sequences.Remote Sensing in Ecology and Conservation, 11(1):88–99.

Multi-Object Tracking Consistently Improves Wildlife Inference Being confident in confidence scores: calibration in deep learning models for camera trap image sequences.Remote Sensing in Ecology and Conservation, 11(1):88–99

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.863752Z

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 12313510-ec09-4dc4-ad0a-62ce69bcc25b · outbound

This paper cites Paying attention to other animal detections improves camera trap classification models.bioRxiv, pages 2025–07.

Multi-Object Tracking Consistently Improves Wildlife Inference Paying attention to other animal detections improves camera trap classification models.bioRxiv, pages 2025–07

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.891649Z

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 09c26058-3cb7-462e-abbf-4ec8e316adab · outbound

This paper cites Multiobject tracking of wildlife in videos using few-shot learning.Animals, 12 (9):1223.

Multi-Object Tracking Consistently Improves Wildlife Inference Multiobject tracking of wildlife in videos using few-shot learning.Animals, 12 (9):1223

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.894662Z

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 6f133f45-ab73-4101-80f9-a6db15468c8f · outbound

This paper cites MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the swiss alps.

Multi-Object Tracking Consistently Improves Wildlife Inference MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the swiss alps

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.850673Z

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 e148c666-6d0a-4a44-894e-04d1f9931e3a · outbound

This paper cites Bioclip 2: Emergent properties from scaling hierarchical contrastive learning.

Multi-Object Tracking Consistently Improves Wildlife Inference Bioclip 2: Emergent properties from scaling hierarchical contrastive learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:13:37.226775Z

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 0eeeb4e4-9359-4608-853a-9eda25d2a5a4 · outbound

This paper cites Nearest-class mean and logits agreement for wildlife open-set recognition.

Multi-Object Tracking Consistently Improves Wildlife Inference Nearest-class mean and logits agreement for wildlife open-set recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.848615Z

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 81da9b7c-bfea-44cb-9be8-b4c370987a49 · outbound

This paper cites Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

Multi-Object Tracking Consistently Improves Wildlife Inference Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:06:57.477196Z

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 77945796-8526-440e-b8ef-1298c09f38d8 · outbound

This paper cites A new approach to linear filtering and prediction problems.

Multi-Object Tracking Consistently Improves Wildlife Inference A new approach to linear filtering and prediction problems

Reference 16

Resolution: verified exact; doi, observed 2026-05-20T18:13:37.001937Z

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 ff5c0a8e-0500-4b26-8e15-dedcf01b4622 · outbound

This paper cites Improved wildlife recog- nition through fusing camera trap images and temporal metadata.Diversity, 16(3):139.

Multi-Object Tracking Consistently Improves Wildlife Inference Improved wildlife recog- nition through fusing camera trap images and temporal metadata.Diversity, 16(3):139

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.846418Z

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 9ab91a37-baa1-41d9-b85e-16a9af37aa16 · outbound

This paper cites Deep learning in multiple animal tracking: A survey.

Multi-Object Tracking Consistently Improves Wildlife Inference Deep learning in multiple animal tracking: A survey

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.881073Z

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 488df929-7401-437c-85b2-e5d18ba2c184 · outbound

This paper cites Trackformer: Multi-object tracking with transformers.

Multi-Object Tracking Consistently Improves Wildlife Inference Trackformer: Multi-object tracking with transformers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.886304Z

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 7f56016c-e5f2-48a7-899f-d21b3f9bb4be · outbound

This paper cites Wildlife target re-identification using self-supervised learning in non-urban settings.

Multi-Object Tracking Consistently Improves Wildlife Inference Wildlife target re-identification using self-supervised learning in non-urban settings

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.866098Z

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 28be7147-9415-4c1b-9b75-4f5b89850ad9 · outbound

This paper cites Improving wildlife out-of- distribution detection: Africas big five.

Multi-Object Tracking Consistently Improves Wildlife Inference Improving wildlife out-of- distribution detection: Africas big five

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:13:37.223564Z

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 8ad33c9f-99d1-4255-b52b-79b37585d742 · outbound

This paper cites Nascimento, Arnaldo J.

Multi-Object Tracking Consistently Improves Wildlife Inference Nascimento, Arnaldo J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.855795Z

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 02e8a612-cdbb-4652-b99d-bcfd5cdcadec · outbound

This paper cites Two- stream collaborative learning with spatial-temporal at- tention for video classification.IEEE Transactions on Circuits and Systems for Video Technology, 29(3):773– 786.

Multi-Object Tracking Consistently Improves Wildlife Inference Two- stream collaborative learning with spatial-temporal at- tention for video classification.IEEE Transactions on Circuits and Systems for Video Technology, 29(3):773– 786

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.816996Z

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 40fc7d6e-be90-46cb-a7d3-d88426c6cc74 · outbound

This paper cites C3d-convlstm based cow behaviour classi- fication using video data for precision livestock farming.

Multi-Object Tracking Consistently Improves Wildlife Inference C3d-convlstm based cow behaviour classi- fication using video data for precision livestock farming

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.826825Z

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 bbb91581-b0d6-4410-9b4c-0a3a5c6e2c52 · outbound

This paper cites an unresolved cited work.

Multi-Object Tracking Consistently Improves Wildlife Inference Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-20T18:13:37.868394Z

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 27ba18f0-445c-4dc7-9f71-705a059579e6 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression.

Multi-Object Tracking Consistently Improves Wildlife Inference Generalized intersection over union: A metric and a loss for bounding box regression

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.824571Z

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 f4eb7416-5814-4ee1-9456-2e3a4fd96670 · outbound

This paper cites Beyond observation: Deep learning for animal behavior and ecological conservation.Ecological Informatics, 84: 102893.

Multi-Object Tracking Consistently Improves Wildlife Inference Beyond observation: Deep learning for animal behavior and ecological conservation.Ecological Informatics, 84: 102893

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.888704Z

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 0f6648ba-7bea-4506-a0c9-1b8a8adac35f · outbound

This paper cites Boost- Track: boosting the similarity measure and detection con- fidence for improved multiple object tracking.Machine Vision and Applications, 35(3).

Multi-Object Tracking Consistently Improves Wildlife Inference Boost- Track: boosting the similarity measure and detection con- fidence for improved multiple object tracking.Machine Vision and Applications, 35(3)

Reference 28

Resolution: verified exact; doi, observed 2026-05-20T18:13:36.999202Z

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 5cece451-4671-4e81-89aa-a345a6ef78f0 · outbound

This paper cites Snap- shot serengeti, high-frequency annotated camera trap images of 40 mammalian species in an african savanna.

Multi-Object Tracking Consistently Improves Wildlife Inference Snap- shot serengeti, high-frequency annotated camera trap images of 40 mammalian species in an african savanna

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.853717Z

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 d075685e-f0f8-42cc-a804-e22600f671cb · outbound

This paper cites an unresolved cited work.

Multi-Object Tracking Consistently Improves Wildlife Inference Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-20T18:13:37.818674Z

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 f5131259-8b01-429f-80aa-23d8782ff2eb · outbound

This paper cites Identifying animal species in camera trap images using deep learning and citizen science.Methods in Ecology and Evolution, 10 (1):80–91.

Multi-Object Tracking Consistently Improves Wildlife Inference Identifying animal species in camera trap images using deep learning and citizen science.Methods in Ecology and Evolution, 10 (1):80–91

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.858458Z

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 bf32c7eb-9411-47b7-a14c-5366f3a749dd · outbound

This paper cites Simple online and realtime tracking with a deep association metric.

Multi-Object Tracking Consistently Improves Wildlife Inference Simple online and realtime tracking with a deep association metric

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.820736Z

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 afb87634-e0f7-4cc3-a7ff-c6926dc7880f · outbound

This paper cites Motr: End-to-end multiple-object tracking with transformer.

Multi-Object Tracking Consistently Improves Wildlife Inference Motr: End-to-end multiple-object tracking with transformer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.822784Z

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 2ae42881-79fd-46f3-a63e-9d82c2872178 · outbound

This paper cites Animaltrack: A benchmark for multi-animal tracking in the wild.International Journal of Computer Vision, 131 (2):496–513.

Multi-Object Tracking Consistently Improves Wildlife Inference Animaltrack: A benchmark for multi-animal tracking in the wild.International Journal of Computer Vision, 131 (2):496–513

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.860610Z

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 36d234cc-4ef8-4436-bcab-de9dd73eaef2 · outbound

This paper cites ByteTrack: Multi-object tracking by associ- ating every detection box.

Multi-Object Tracking Consistently Improves Wildlife Inference ByteTrack: Multi-object tracking by associ- ating every detection box

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:13:37.870889Z

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.