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Paper Citation Record · LEDGER

REMIND: RE-Identification with Memory for INDoor Navigation

As of 9 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 2026-08-09T06:31:02.800959+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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  • unresolved27
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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=sha256:6deb1bd9dd1665f4dec9feecdb3df9c231915ba2c1a9e82c1d4279924471f6fb

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=sha256:69d0da414550742b4127adc6fec89a767cac0fe711f778dd4dc2418c57bf72e4

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=sha256:925884dc4588f30a6703d8e762372766ad7c53804b44f0f601fb7be636aa79d1

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=sha256:50040c0421296e902549a1b385091ce6ea7a54854406d7c2e06097cc7c7ac86a

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=sha256:3e9e9ac83262706bfdfcaa3830ac2d2abcbb3208f047c84442a6db3d21ddffe4

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:ae991d8f4f1c6b7587300d0e0a4233c6f660db43d516a1a02df525b0233a678c

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:d9892cd4bdd35824971617df2a13a25a5bb0c651a98f7cf367e88c23d35c38b4

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=sha256:8d53de84293e0756ccb14f044d13a91a714cda79e91cbcae9b450e8f76c35d5d

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:ef06ba3126e5976d59b96d858a70885c4fd17a2493f3dbdb9791c61bde41c9cb

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:a28830f9f59787e5c9dcdee729348cdf4c88207b6cb5409153186f1c5779484f

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=sha256:8a682b8d591bfd6d52fd66cd6674cf40f350e2b0d7fd438482b56146f83f6f0e

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:a11a4b2c8613c9ffb302bc2acda9736bd9481307d8acfef381904879a2cd123c

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:ce350b7b03389213c0f62adeae03a2f66efd92361674a0568c1bb2b51e99f364

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=sha256:628554fa7e576fbe776d3150258520d606196efbbe7097d77007a3ec2ad0185e

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=sha256:9329f22a2a1839967d137e231866146d31472a7e0e2c135d15cb4316cfd9100e

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:a569218f5d7d5f7c0b41bbd6f2824a960b7e6eeca0e98d77e980e40ee5bae8d9

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:f26d334a84fad01daa201dd4bc9ee4e8f418a891fae0a1c5cea544204c2512f1

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=sha256:22f7dc23ffdd13554df5c8b9fefe3e19a568b1114c8ad3b5f4d5ffaf78c2f5b0

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=sha256:3beddbbc76970ddb332c8fc4708d79734494ef6b10f7cf09b1c94be7a0ca9b62

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:f5cb748f5a9a087f84b6ff37e69cc76f5daa961596d494df1e6f6ef574e0fc1a

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:cc7d05f2ea2c8933347cfc186005fc3d1b9b065fd23315c9d88f865160be4da1

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=sha256:83dd2a0914760afa9934e2d7033ee706a7d4e49e5826662336169c9b43ad21ef

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:be854ff9f1fc0a4f2ed39d45cd0835f3b709e3c47a232635d23fb8fb136844c2

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=sha256:146fc6a69c7a993b98790345b478b06e95442ddd01773d92655fc459287c6a4a

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=sha256:8bb5f88ced3f9a2c14cd88d263977a881e07dad6c2e6ce6ea9a5a3c3de88fe76

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:e1abe365736071978f1fe68fd190573246240291a6ca51b6d094bb093d66c0b9

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=sha256:7ade6335de1b4e3781bc870befa635d71f8f448bd8de6f648bdf6bb84b39fcec

Pith citing papers

No inbound Pith citation observations are available.