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Paper Citation Record · LEDGER

FoodTrack: Estimating Handheld Food Portions with Egocentric Video

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.04055.

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

pith.paper-citation-record.v1
2505.04055 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:42.205017Z

measured 16 of 16 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

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d197e81c-bd63-4e15-9100-b27bcade5210 · outbound

This paper cites A comparative anal- ysis of sensor-, geometry-, and neural-based methods for food volume estimation.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video A comparative anal- ysis of sensor-, geometry-, and neural-based methods for food volume estimation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.400393Z

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.

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Observation 67b55169-cc73-4102-a4e0-b21584a1ce3b · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:42.149360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:42.149360Z digest=sha256:1f3e2bd9fb667ebdca6b99c734d623bafe1c6f9a77c9a1b5e11c8bcb56ffa32a

Observation d7a1351a-907d-4453-b257-a1d4db7bf539 · outbound

This paper cites Putting the object back into video object segmentation.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Putting the object back into video object segmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:42.153875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:42.153875Z digest=sha256:e8caf0e42aeb2e3f16dd4fdf5c32a5c10c141f60a4dc1433910207a59b20f0ba

Observation 06680e84-d6fa-4348-ba58-a8ee35e86649 · outbound

This paper cites Project Aria: A New Tool for Egocentric Multi-Modal AI Research.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Project Aria: A New Tool for Egocentric Multi-Modal AI Research

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:42.157724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:42.157724Z digest=sha256:86c99194c849789303e076ab7805355080346f90fa9bfc1b52273f4e667b1559

Observation b5cd4564-1e0a-429c-88cf-b5b74b1e73f0 · outbound

This paper cites Valida- tion of sensor-based food intake detection by multicamera video observation in an unconstrained environment.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Valida- tion of sensor-based food intake detection by multicamera video observation in an unconstrained environment

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.381001Z

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=2026-08-15T23:41:42.162191Z digest=sha256:3df9206f2cbd0844ff923009cfd0349a6c8e29c67592aab5556e9c2bf916a7a2

Observation aec948cf-1fd8-47a0-9ad3-074e53febc6e · outbound

This paper cites Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.369904Z

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=2026-08-15T23:41:42.165689Z digest=sha256:0476f63a6b74667970d24442d1a6c7cf0e7e1d01f80761105bac6e4aaa580e1a

Observation a9dfbe92-2862-4bb8-8f7a-6818cc35399e · outbound

This paper cites Lightglue: Local feature matching at light speed.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Lightglue: Local feature matching at light speed

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:42.169339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:42.169339Z digest=sha256:d7618e1fbd0abccf8c750f5635cdb2eac7f9f438bca105f6c1dab8ac49d226ee

Observation f14590b8-c975-4d44-94d1-eca3bb9786b4 · outbound

This paper cites A novel mobile structured light system in food 3d reconstruc- tion and volume estimation.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video A novel mobile structured light system in food 3d reconstruc- tion and volume estimation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.352423Z

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=2026-08-15T23:41:42.172593Z digest=sha256:5f1a2507a224e269362e31daffc1c1bd607861f30e96265bfd74290c02e12171

Observation 74fd1361-14d0-49ad-895b-484696d9170b · outbound

This paper cites Traditional self- reported dietary instruments are prone to inaccuracies and new approaches are needed.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Traditional self- reported dietary instruments are prone to inaccuracies and new approaches are needed

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.341932Z

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=2026-08-15T23:41:42.175811Z digest=sha256:f79f2360d75387aa1721b3f6183d9d2d9d024204580309ba4996ec7a9bd88057

Observation ef74255e-7be3-4019-a87e-21720eac3113 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:42.179146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:42.179146Z digest=sha256:294d5e25d1fc03071143afd9d6326a3f30ef4735fbf9c2475c2e79c22853b62e

Observation 90fceb19-691b-4571-b8ef-2c7cb7fdfd17 · outbound

This paper cites Learning Temporally Consistent Video Depth from Video Diffusion Priors.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Learning Temporally Consistent Video Depth from Video Diffusion Priors

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:42.183684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:42.183684Z digest=sha256:d38f3d56604e139906db913f1f1debbf36053b3de544942fbb0310eb1d91e102

Observation 2e0111c1-0c6f-4f89-ba32-41f9719f9f48 · outbound

This paper cites A new video dataset for rec- ognizing intake gestures in a cafeteria setting.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video A new video dataset for rec- ognizing intake gestures in a cafeteria setting

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.330008Z

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=2026-08-15T23:41:42.188219Z digest=sha256:2da250a6e959e335b624dd31b52eb3aa88a99b891e3ca38ffc829212152cd8f3

Observation e4e06d9e-1246-46f5-b6e2-58d1c1c7d067 · outbound

This paper cites Eating activ- ity monitoring in home environments using smartphone- based video recordings.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Eating activ- ity monitoring in home environments using smartphone- based video recordings

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.318054Z

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=2026-08-15T23:41:42.193229Z digest=sha256:a57a0c612aca40b71ab424fb02b4db563adcb022ebf1b3ab75ef03de17d75d17

Observation f594413c-1797-4221-8b3c-24058ac86f5c · outbound

This paper cites Eat-radar: Con- tinuous fine-grained intake gesture detection using fmcw radar and 3d temporal convolutional network with attention.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Eat-radar: Con- tinuous fine-grained intake gesture detection using fmcw radar and 3d temporal convolutional network with attention

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.305916Z

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=2026-08-15T23:41:42.197754Z digest=sha256:dacc700cb24a53d314dcd61e05cbedce1721d63ee6b5e7dac1a634a990ed7db2

Observation 4256414d-0fa2-4fc5-9f1a-edbf28c9eaf9 · outbound

This paper cites Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.294103Z

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=2026-08-15T23:41:42.201443Z digest=sha256:9e3524ac6635af870cf2576bf0a6cef6f1b831c2b55efa1774e31239c65062dc

Observation 04c29cc0-4962-4c03-88eb-15a1f29c04bc · outbound

This paper cites Resshift: Efficient diffusion model for image super- resolution by residual shifting.

FoodTrack: Estimating Handheld Food Portions with Egocentric Video Resshift: Efficient diffusion model for image super- resolution by residual shifting

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:42.281613Z

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=2026-08-15T23:41:42.205017Z digest=sha256:69263ddfb6c9b56c4f149b11e3ea095950f7360f87837c02a3de0b1ae04e2c3e

Pith citing papers

No inbound Pith citation observations are available.