Paper Citation Record · LEDGER

New York Smells: A Large Multimodal Dataset for Olfaction

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2511.20544.

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

pith.paper-citation-record.v1
2511.20544 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:46:26.052328Z

measured 53 of 53 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T07:12:33.217167Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-08T07:14:45.073571Z

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 379d268c-848c-4eee-9f05-061eda9409d8 · outbound

This paper cites Look, listen and learn.

New York Smells: A Large Multimodal Dataset for Olfaction Look, listen and learn

Reference 1

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Observation 40e69956-bec4-4a83-bff0-27ea8b01c5cd · outbound

This paper cites Elec- tronic nose for smart identification of roofing and paving grade asphalt.Transportation Research Procedia, 40:4–11,.

New York Smells: A Large Multimodal Dataset for Olfaction Elec- tronic nose for smart identification of roofing and paving grade asphalt.Transportation Research Procedia, 40:4–11,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:21.797109Z

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Observation 89b9f85e-8b87-4979-b73e-035df38b7114 · outbound

This paper cites Sound- net: Learning sound representations from unlabeled video.

New York Smells: A Large Multimodal Dataset for Olfaction Sound- net: Learning sound representations from unlabeled video

Reference 3

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Observation b94ebf98-417e-4d2b-b465-fd4342d4e6e5 · outbound

This paper cites Identification of salmonella-inoculated beef using a portable electronic nose system.Journal of Rapid Methods & Automation in Microbiology, 13(2):71–95,.

New York Smells: A Large Multimodal Dataset for Olfaction Identification of salmonella-inoculated beef using a portable electronic nose system.Journal of Rapid Methods & Automation in Microbiology, 13(2):71–95,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:21.959953Z

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Observation ebf4e9d7-bdc8-43a1-b6b3-02d90d896b15 · outbound

This paper cites Electronic nose and visible-near infrared spectroscopy in fruit and veg- etable monitoring.Reviews in Analytical Chemistry, 36(4): 20160016, 2017.

New York Smells: A Large Multimodal Dataset for Olfaction Electronic nose and visible-near infrared spectroscopy in fruit and veg- etable monitoring.Reviews in Analytical Chemistry, 36(4): 20160016, 2017

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:22.042094Z

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Observation c1297f3c-2954-4cd7-b2e0-9a6357ebebd0 · outbound

This paper cites Learning to taste: A multimodal wine dataset.Advances in Neural Information Processing Systems, 36:7351–7360, 2023.

New York Smells: A Large Multimodal Dataset for Olfaction Learning to taste: A multimodal wine dataset.Advances in Neural Information Processing Systems, 36:7351–7360, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:22.155955Z

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Observation 380620a9-c196-4d0c-8238-23f82eddbf8f · outbound

This paper cites Beveridge and S.

New York Smells: A Large Multimodal Dataset for Olfaction Beveridge and S

Reference 7

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Observation 255ac6ab-e143-4c34-ba90-361420f9b799 · outbound

This paper cites Vggsound: A large-scale audio-visual dataset.

New York Smells: A Large Multimodal Dataset for Olfaction Vggsound: A large-scale audio-visual dataset

Reference 8

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Observation 232a896a-ad4d-4f46-8469-cbc3eb137976 · outbound

This paper cites Craven, Eric G.

New York Smells: A Large Multimodal Dataset for Olfaction Craven, Eric G

Reference 9

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Observation b27b07fc-a311-40c7-b433-016c51eb57d4 · outbound

This paper cites Learning classification with unlabeled data.

New York Smells: A Large Multimodal Dataset for Olfaction Learning classification with unlabeled data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:22.480840Z

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Observation 6481693b-b0fe-4678-98c8-ed1066f8db51 · outbound

This paper cites Predicting human odor perception represented by continuous values from mass spectra of essential oils resembling chemical mixtures.PLOS ONE, 15(6):e0234688, 2020.

New York Smells: A Large Multimodal Dataset for Olfaction Predicting human odor perception represented by continuous values from mass spectra of essential oils resembling chemical mixtures.PLOS ONE, 15(6):e0234688, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:22.592161Z

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Observation 9642fadb-adfd-4b11-80c5-a10d05935208 · outbound

This paper cites Assessment of the portable c-320 electronic nose for discrimination of nine insectivorous bat species: implica- tions for monitoring white-nose syndrome.Biosensors, 10 (2):12, 2020.

New York Smells: A Large Multimodal Dataset for Olfaction Assessment of the portable c-320 electronic nose for discrimination of nine insectivorous bat species: implica- tions for monitoring white-nose syndrome.Biosensors, 10 (2):12, 2020

Reference 12

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Observation f16f9ba3-23c5-4f5c-85e6-8f0456c63715 · outbound

This paper cites Tactile-Augmented Radiance Fields.

New York Smells: A Large Multimodal Dataset for Olfaction Tactile-Augmented Radiance Fields

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:22.778451Z

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Observation abc69f5d-4745-4144-b3cd-d1096a781e88 · outbound

This paper cites Bacteria classification using cyranose 320 electronic nose.Biomedical engineering online, 1(1):4, 2002.

New York Smells: A Large Multimodal Dataset for Olfaction Bacteria classification using cyranose 320 electronic nose.Biomedical engineering online, 1(1):4, 2002

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:22.913547Z

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Observation 5be1771e-d084-42ed-abed-1e6126e17481 · outbound

This paper cites SmellNet: A Large-scale Dataset for Real-world Smell Recognition.

New York Smells: A Large Multimodal Dataset for Olfaction SmellNet: A Large-scale Dataset for Real-world Smell Recognition

Reference 16

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Observation f611943e-f597-4191-b506-4195277c2983 · outbound

This paper cites First steps in developing a fast, cheap, and reliable method to distinguish wild mush- room and truffle species.Resources, 12(12):139, 2023.

New York Smells: A Large Multimodal Dataset for Olfaction First steps in developing a fast, cheap, and reliable method to distinguish wild mush- room and truffle species.Resources, 12(12):139, 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.288611Z

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Observation 29bc1942-5482-4288-8e64-e333d500a41a · outbound

This paper cites Ad- vances in electronic nose sensors for plant disease and pest detection.Engineering Proceedings, 48(1):14, 2023.

New York Smells: A Large Multimodal Dataset for Olfaction Ad- vances in electronic nose sensors for plant disease and pest detection.Engineering Proceedings, 48(1):14, 2023

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.386778Z

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Observation 0d620e10-10e9-4b33-97e8-671f8a74a838 · outbound

This paper cites Canine olfaction: Scent, sign, and situation.

New York Smells: A Large Multimodal Dataset for Olfaction Canine olfaction: Scent, sign, and situation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.454938Z

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Observation 0613dd6a-3857-451c-86a0-647b03c76f82 · outbound

This paper cites Assessment of an e-nose performance for the detection of covid-19 specific biomark- ers.Journal of Breath Research, 17(2):026006, 2023.

New York Smells: A Large Multimodal Dataset for Olfaction Assessment of an e-nose performance for the detection of covid-19 specific biomark- ers.Journal of Breath Research, 17(2):026006, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.567598Z

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Observation ee677c61-8818-461e-bfbd-0e011565fc8e · outbound

This paper cites Imagebind: One embedding space to bind them all.

New York Smells: A Large Multimodal Dataset for Olfaction Imagebind: One embedding space to bind them all

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.610466Z

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Observation 37742973-7b18-451a-91e8-23ae4aaf6909 · outbound

This paper cites Hepper and D.

New York Smells: A Large Multimodal Dataset for Olfaction Hepper and D

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.687731Z

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Observation 2f30a21f-a13c-448d-b76b-d3f59614dbc7 · outbound

This paper cites an unresolved cited work.

New York Smells: A Large Multimodal Dataset for Olfaction Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.745909Z

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Observation 315ddae0-77cb-49f8-abbe-7609786014d8 · outbound

This paper cites Gerkin, Yinzhao Guan, Avi Dhu- randhar, Nath Tsaernstad, Jun Tan, Moustapha Bensafi, et al.

New York Smells: A Large Multimodal Dataset for Olfaction Gerkin, Yinzhao Guan, Avi Dhu- randhar, Nath Tsaernstad, Jun Tan, Moustapha Bensafi, et al

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.825975Z

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Observation 3197c060-2ae2-4606-bce3-40502b9fd504 · outbound

This paper cites Canine olfaction: physiology, behavior, and pos- sibilities for practical applications.Animals, 11(8):2463,.

New York Smells: A Large Multimodal Dataset for Olfaction Canine olfaction: physiology, behavior, and pos- sibilities for practical applications.Animals, 11(8):2463,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:23.883884Z

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Observation 40f57a85-b539-48b2-b813-2277ffd90a54 · outbound

This paper cites Lee, Emily J.

New York Smells: A Large Multimodal Dataset for Olfaction Lee, Emily J

Reference 26

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Observation a4123787-b612-4253-86cd-3d211b9771ae · outbound

This paper cites an unresolved cited work.

New York Smells: A Large Multimodal Dataset for Olfaction Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.145297Z

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Observation bf6473bf-c28a-48f5-829a-90b595b53c0d · outbound

This paper cites Scent classification by k nearest neigh- bors using ion-mobility spectrometry measurements.Expert Systems with Applications, 115:593–606, 2019.

New York Smells: A Large Multimodal Dataset for Olfaction Scent classification by k nearest neigh- bors using ion-mobility spectrometry measurements.Expert Systems with Applications, 115:593–606, 2019

Reference 28

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Observation 94cd9de9-d65a-47e1-996d-0635f55a9d4a · outbound

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New York Smells: A Large Multimodal Dataset for Olfaction Unresolved cited work

Reference 29

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Observation 3700e645-550d-4e7e-8641-851954cc6f84 · outbound

This paper cites Multimodal deep learn- ing.

New York Smells: A Large Multimodal Dataset for Olfaction Multimodal deep learn- ing

Reference 30

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Observation d28803e1-44a7-449d-bcc8-f8b8847104a7 · outbound

This paper cites Orthog- onal gas sensor arrays with intelligent algorithms for early warning of electrical fires.Sensors and Actuators B: Chemi- cal, 130(2):889–899, 2008.

New York Smells: A Large Multimodal Dataset for Olfaction Orthog- onal gas sensor arrays with intelligent algorithms for early warning of electrical fires.Sensors and Actuators B: Chemi- cal, 130(2):889–899, 2008

Reference 31

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Observation 9dab6e31-6cbf-43cc-8813-cd9ef76245c7 · outbound

This paper cites Visually indicated sounds.

New York Smells: A Large Multimodal Dataset for Olfaction Visually indicated sounds

Reference 32

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Observation 2d3cf709-d1a5-4175-8ab5-f5826b3cf121 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

New York Smells: A Large Multimodal Dataset for Olfaction Learning transferable visual models from natural language supervision, 2021

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.452913Z

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Observation 22c3e18f-7bf8-4c11-8024-58fff95bb8b9 · outbound

This paper cites A measure of smell enables the creation of olfactory metamers.Nature, 588(7836):118–123, 2020.

New York Smells: A Large Multimodal Dataset for Olfaction A measure of smell enables the creation of olfactory metamers.Nature, 588(7836):118–123, 2020

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.500697Z

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Observation a15349fe-ead2-415a-b937-45971fe905e4 · outbound

This paper cites Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules.

New York Smells: A Large Multimodal Dataset for Olfaction Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.566419Z

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Observation cb19aec8-de6c-4cfc-8412-43d00eb1efdc · outbound

This paper cites Cyranose 320 electronic nose, 2000.

New York Smells: A Large Multimodal Dataset for Olfaction Cyranose 320 electronic nose, 2000

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.619114Z

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Observation 793919c3-7b7b-4c6a-9915-4239a4e24b6e · outbound

This paper cites The impact of storage conditions on stool smellprints as assessed by an electronic nose.ACS sensors, 10(2):689–698, 2025.

New York Smells: A Large Multimodal Dataset for Olfaction The impact of storage conditions on stool smellprints as assessed by an electronic nose.ACS sensors, 10(2):689–698, 2025

Reference 37

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Observation 0bc52515-d88c-4cee-a576-8b2a262bcec3 · outbound

This paper cites Khan, and Noam Sobel.

New York Smells: A Large Multimodal Dataset for Olfaction Khan, and Noam Sobel

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.746316Z

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Observation 2f5a0898-228c-462f-98a2-d2cb7a704657 · outbound

This paper cites Con- trastive multiview coding, 2020.

New York Smells: A Large Multimodal Dataset for Olfaction Con- trastive multiview coding, 2020

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.827895Z

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Observation 71ee91a9-3051-40f2-99e6-2180d0736460 · outbound

This paper cites Mixed explosives dataset, 2019.

New York Smells: A Large Multimodal Dataset for Olfaction Mixed explosives dataset, 2019

Reference 40

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Observation d3bf1ccd-8e68-4a85-a40d-6c6a88fd3f68 · outbound

This paper cites Repre- sentation learning with contrastive predictive coding, 2019.

New York Smells: A Large Multimodal Dataset for Olfaction Repre- sentation learning with contrastive predictive coding, 2019

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.990331Z

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Observation b74616ad-48e9-47fc-a300-7d177b7224b7 · outbound

This paper cites Smell—adding a new dimension to urinalysis.Biosensors, 10(5):48, 2020.

New York Smells: A Large Multimodal Dataset for Olfaction Smell—adding a new dimension to urinalysis.Biosensors, 10(5):48, 2020

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:24.999264Z

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Observation f3a3422a-d1e5-4349-93a3-bf7b1783e265 · outbound

This paper cites O’Connell, and Elizabeth J.

New York Smells: A Large Multimodal Dataset for Olfaction O’Connell, and Elizabeth J

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.077536Z

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Observation 1e49e12f-ce64-4398-aa78-23fdd73a6708 · outbound

This paper cites Recalibrating olfactory neuroscience to the range of naturally occurring odor con- centrations.Journal of Neuroscience, 45(10), 2025.

New York Smells: A Large Multimodal Dataset for Olfaction Recalibrating olfactory neuroscience to the range of naturally occurring odor con- centrations.Journal of Neuroscience, 45(10), 2025

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.161580Z

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Observation c69653aa-76fb-4f57-8147-fcfdbbc45cdb · outbound

This paper cites the sense of smell in our languages.

New York Smells: A Large Multimodal Dataset for Olfaction the sense of smell in our languages

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.259435Z

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Observation e2fa7c5a-cb52-48fb-9a3c-a40897494e35 · outbound

This paper cites Smell terms are not rara: A semantic investigation of odor vocabu- lary in thai.Linguistics, 58(4):937–966, 2020.

New York Smells: A Large Multimodal Dataset for Olfaction Smell terms are not rara: A semantic investigation of odor vocabu- lary in thai.Linguistics, 58(4):937–966, 2020

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.359339Z

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Observation cd11e5bb-242e-478a-9bcc-d51fed977782 · outbound

This paper cites Touch and Go: Learning from Human-Collected Vision and Touch.

New York Smells: A Large Multimodal Dataset for Olfaction Touch and Go: Learning from Human-Collected Vision and Touch

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.495327Z

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Observation 6678cdb6-4885-4aca-9313-c08559ee878c · outbound

This paper cites An odor is not worth a thousand words: from multidimensional odors to unidimen- sional odor objects.Annual review of psychology, 61(1):219– 241, 2010.

New York Smells: A Large Multimodal Dataset for Olfaction An odor is not worth a thousand words: from multidimensional odors to unidimen- sional odor objects.Annual review of psychology, 61(1):219– 241, 2010

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.671753Z

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Observation 11262e9c-a1c4-43c6-bcd7-a2792d38bfd4 · outbound

This paper cites Connecting look and feel: Associating the visual and tactile properties of physical materials.

New York Smells: A Large Multimodal Dataset for Olfaction Connecting look and feel: Associating the visual and tactile properties of physical materials

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.769418Z

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Observation 4ff96766-2514-4194-9b7b-7813e4127a85 · outbound

This paper cites Feasibility of detection of infested rice using an electronic nose.Journal of Stored Products Research, 92:101805, 2021.

New York Smells: A Large Multimodal Dataset for Olfaction Feasibility of detection of infested rice using an electronic nose.Journal of Stored Products Research, 92:101805, 2021

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:25.912691Z

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Observation e67afc7c-ebe5-4877-bfb3-354aef29a57b · outbound

This paper cites You are shown four images where a blue sensor probe with a yellow tip is pointing at the same object.

New York Smells: A Large Multimodal Dataset for Olfaction You are shown four images where a blue sensor probe with a yellow tip is pointing at the same object

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:26.052328Z

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Pith citing papers

Observation 3abfc615-1409-4434-882f-bcde0ec018d7 · inbound

Chasing Ghosts: A Simulation-to-Real Olfactory Navigation Stack with Optional Vision Augmentation cites this paper.

Chasing Ghosts: A Simulation-to-Real Olfactory Navigation Stack with Optional Vision Augmentation New York Smells: A Large Multimodal Dataset for Olfaction

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:30:07.324654Z

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Observation e79196e3-7773-4cf4-a28b-c90feb9ebc75 · inbound

See & Sniff: Learning Visuo-Olfactory Representations cites this paper.

See & Sniff: Learning Visuo-Olfactory Representations New York Smells: A Large Multimodal Dataset for Olfaction

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T02:30:07.324654Z

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Observation 75994d8f-4f7c-4254-84e3-c27b3b747aa1 · inbound

What Images Cannot Say: Language-Guided Olfactory Representation Learning cites this paper.

What Images Cannot Say: Language-Guided Olfactory Representation Learning New York Smells: A Large Multimodal Dataset for Olfaction

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T02:30:07.324654Z

Source-reported events for the cited work

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