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Paper Citation Record · LEDGER

REMIND: RE-Identification with Memory for INDoor Navigation

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.09267.

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

pith.paper-citation-record.v1
2607.09267 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:17:48.493760Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43e9d6b2-a103-4746-92f3-d11ac293acad · outbound

This paper cites The role of context in object recognition,.

REMIND: RE-Identification with Memory for INDoor Navigation The role of context in object recognition,

Reference 1

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:f7edd3cf11d4657f4e1304a576b3dfa70f853eed3c1590a4f43554f8a2726eba

Observation 9aba7ec9-3ee5-43b3-b2a4-18324b9c041c · outbound

This paper cites Simple online and realtime track- ing with a deep association metric,.

REMIND: RE-Identification with Memory for INDoor Navigation Simple online and realtime track- ing with a deep association metric,

Reference 2

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:8609b774c3f763caab2d7d6060813f5f6df8f8cce32d24b7f956301f2e5e9c37

Observation e0275c8f-9692-47e6-9ace-791b46e73725 · outbound

This paper cites ByteTrack: Multi-object tracking by associating every detection box,.

REMIND: RE-Identification with Memory for INDoor Navigation ByteTrack: Multi-object tracking by associating every detection box,

Reference 3

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:91e2e0b0cde3ed7dcc40e2720fa443578ab643cd13ac15a3305c303e85d5058c

Observation 17c6a7d8-20d9-4391-9f78-d18a41b4589c · outbound

This paper cites StrongSORT: Make DeepSORT great again,.

REMIND: RE-Identification with Memory for INDoor Navigation StrongSORT: Make DeepSORT great again,

Reference 4

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:a6154c3f6aaf1ba1ac68473eca9e878198465255b3ed34c25212026ee67e80af

Observation 46296f0a-fa7c-4c1d-91e6-30a7cf0f7b9b · outbound

This paper cites Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification.

REMIND: RE-Identification with Memory for INDoor Navigation Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification

Reference 5

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:f8d2adc784ea33c4cfd70748cb8dd78d22f87dd8bd7495a85e192fdf304501c5

Observation f5d01207-bf85-4998-aacd-82dda0e9d9ea · outbound

This paper cites MeMOTR: Long-term memory-augmented trans- former for multi-object tracking,.

REMIND: RE-Identification with Memory for INDoor Navigation MeMOTR: Long-term memory-augmented trans- former for multi-object tracking,

Reference 6

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:f91a7c31df682eabc76c4bb29cffc1df45c9f381c45d4b24fb35b7fb3562bf1c

Observation f7124aaa-c4fb-4a0b-b12d-b5f42842a0c4 · outbound

This paper cites Scalable person re-identification: A benchmark,.

REMIND: RE-Identification with Memory for INDoor Navigation Scalable person re-identification: A benchmark,

Reference 7

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:2fc7c9dfb79247c2c0ddc76f4e2be4c1905e0b45d630c58aaabe8d1cd2d23840

Observation 5179a8f4-917d-48d3-ba95-4a76a73a77d3 · outbound

This paper cites Person transfer GAN to bridge domain gap for person re-identification,.

REMIND: RE-Identification with Memory for INDoor Navigation Person transfer GAN to bridge domain gap for person re-identification,

Reference 8

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:700b816fd8cccdda08b9e9bf037ab40a83db3d6cd51d9852e2e03b98a0f7fe69

Observation 1f6a3074-e618-4a0f-b875-0e154d44d6d4 · outbound

This paper cites Deep relative distance learning: Tell the difference between similar vehicles,.

REMIND: RE-Identification with Memory for INDoor Navigation Deep relative distance learning: Tell the difference between similar vehicles,

Reference 9

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:133ae469a91f1ca2e1f277f8b92478197c19dd312c4b2c06853a70d00c78109c

Observation 60e7216b-20d5-4f0b-8c71-15672e2b1061 · outbound

This paper cites TransReID: Transformer-based object re-identification,.

REMIND: RE-Identification with Memory for INDoor Navigation TransReID: Transformer-based object re-identification,

Reference 10

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:839b2e6ab1befc489845de57c371857759c1042c8e81b635c0db6257ab7938e3

Observation 70b9ddea-195e-44d0-8f99-8146ea49c800 · outbound

This paper cites Bag of tricks and a strong baseline for deep person re-identification,.

REMIND: RE-Identification with Memory for INDoor Navigation Bag of tricks and a strong baseline for deep person re-identification,

Reference 11

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:96b505f5e52fc95621366bb3fe545db4e58a50a88ea1e91b0e5f4d834cbe09dd

Observation 16a30853-cfb5-47eb-82e1-b716ac961ae3 · outbound

This paper cites Matching anything by segmenting anything,.

REMIND: RE-Identification with Memory for INDoor Navigation Matching anything by segmenting anything,

Reference 12

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:cf2bf0c62738810fd5af2e91285ec813fa5747476e572ed1bf803cd6ffadd831

Observation ddef11ae-b2f3-49d8-9dc5-bad0ab1aa7fd · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

REMIND: RE-Identification with Memory for INDoor Navigation SAM 2: Segment Anything in Images and Videos

Reference 13

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:cde81d89ef82a80a38215a5251cd21045b22ae2e205f568e1c5116a523bd7754

Observation 32695d59-81f8-43da-9ac1-22aaeddcd7bf · outbound

This paper cites SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.

REMIND: RE-Identification with Memory for INDoor Navigation SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Reference 14

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:d9cd2751365f949740c2eca33df6e49573567591d9c269d83a2357ab0a38c8bd

Observation 4f89c431-4942-4297-8019-9e5d424374bc · outbound

This paper cites A distractor-aware memory for visual object tracking with sam2,.

REMIND: RE-Identification with Memory for INDoor Navigation A distractor-aware memory for visual object tracking with sam2,

Reference 15

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:f50030f67dd11f681442e95934a1873e5c67aad6bcaa68728401da8fabbdbda5

Observation 0d9fa66d-3838-4f75-bc75-08d2b18da7a5 · outbound

This paper cites DINOv3.

REMIND: RE-Identification with Memory for INDoor Navigation DINOv3

Reference 16

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:bd7a6fb47e41f6b1d990bc4b931426c213afc6a22a92eadb0cba6988cec9fb24

Observation b1ee92ae-dde0-422a-ba1b-1dcd96ec89e8 · outbound

This paper cites ScanNet++: A high- fidelity dataset of 3d indoor scenes,.

REMIND: RE-Identification with Memory for INDoor Navigation ScanNet++: A high- fidelity dataset of 3d indoor scenes,

Reference 17

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:11ec61d369b606288a0d54e04f21eb245299fa008ea4e497aadf4470901e7661

Observation 77743b54-1e18-4470-aa49-122b1b3fa262 · outbound

This paper cites Segment anything,.

REMIND: RE-Identification with Memory for INDoor Navigation Segment anything,

Reference 18

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:d80e0fde0c15b4e324185038f601c9f0948e8ea41eba439baa3fd4843b6d2ea2

Observation cd96ca6c-2d8a-4823-ae2c-07bbd836b105 · outbound

This paper cites TAO: A large-scale benchmark for tracking any object,.

REMIND: RE-Identification with Memory for INDoor Navigation TAO: A large-scale benchmark for tracking any object,

Reference 19

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:2f3537670aa94b2ba9c2e1f511918a4bf03b7ba9e5fbbb5f422d866cd30e4615

Observation 7ecba955-2c20-4274-858f-be74d1b8aa62 · outbound

This paper cites 3AM: 3egment Anything with Geometric Consistency in Videos.

REMIND: RE-Identification with Memory for INDoor Navigation 3AM: 3egment Anything with Geometric Consistency in Videos

Reference 20

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:a2ca6d6daa1a0ea23754f51a5c7b9016294973a058700ff4715053c3472676f9

Observation d29ecf41-300b-44ad-8cea-1b416ec3bea8 · outbound

This paper cites Grounding image matching in 3d with MASt3R,.

REMIND: RE-Identification with Memory for INDoor Navigation Grounding image matching in 3d with MASt3R,

Reference 21

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:cae183d65ae703aea9733983938cd8253598dfccff8c67189362813230be5133

Observation ecb3e0c7-e90d-4928-8369-c49f40d2b651 · outbound

This paper cites Online segment any 3d thing as instance tracking,.

REMIND: RE-Identification with Memory for INDoor Navigation Online segment any 3d thing as instance tracking,

Reference 22

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:b2b5bc14261edbb612077631a8beea7b6c32b66ab04c511b3492f33f6f2d38b5

Observation 47c7eee9-f616-4020-aded-921cebd06d79 · outbound

This paper cites Embodiedsam: Online segment any 3d thing in real time,.

REMIND: RE-Identification with Memory for INDoor Navigation Embodiedsam: Online segment any 3d thing in real time,

Reference 23

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:10be60fc191d23f38a5463eaa205f6e63a17c432ca966a7b0fc699ad83e2e16c

Observation dcb6dbcf-0d40-4dd1-9faa-5c28ab168f6d · outbound

This paper cites Sam2object: Consolidating view consistency via sam2 for zero-shot 3d instance segmentation,.

REMIND: RE-Identification with Memory for INDoor Navigation Sam2object: Consolidating view consistency via sam2 for zero-shot 3d instance segmentation,

Reference 24

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:4f64b17845fd1c69d1fa7868db17b0172c8626a5f0f302c1f96bc6fbc08a7ba1

Observation 39cdd2f3-e325-4eb4-9574-39d112d2a356 · outbound

This paper cites Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking.

REMIND: RE-Identification with Memory for INDoor Navigation Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking

Reference 25

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:80716bfbef6960997cacd6e7efc9a92427437d93222a944970acccdd3d534a44

Observation af394de3-2426-4d66-96ba-16a1df53fd91 · outbound

This paper cites ScanNet: Richly-annotated 3d reconstructions of indoor scenes,.

REMIND: RE-Identification with Memory for INDoor Navigation ScanNet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 26

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:8f3a804ea62ae811ba5061562b0f55f7a8cb4eba17a3cc32d540f765b262617e

Observation 3ce0c8aa-e883-4afe-947d-709f7699617e · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

REMIND: RE-Identification with Memory for INDoor Navigation YOLOv11: An Overview of the Key Architectural Enhancements

Reference 27

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source=pdf_text observed=2026-07-13T04:17:48.493760Z digest=sha256:4397ae8a3abd16a278a3296ff81693a012b9f29ad32802c5ad92354c9f7a4249

Pith citing papers

No inbound Pith citation observations are available.