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Paper Citation Record · LEDGER

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.03711.

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

pith.paper-citation-record.v1
2606.03711 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T09:38:28.847667Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fc13b7b-fcd6-4004-aca5-cc82243d752e · outbound

This paper cites STAN: Spatio-temporal attention network for next location recommendation,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy STAN: Spatio-temporal attention network for next location recommendation,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c3637cc0-5a2b-41c0-a684-07e84a3f928f · outbound

This paper cites GETNext: Trajectory flow map enhanced transformer for next POI recommendation,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy GETNext: Trajectory flow map enhanced transformer for next POI recommendation,

Reference 2

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Observation 792854b2-57df-4b39-9597-3abc6efc7d39 · outbound

This paper cites Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs,

Reference 3

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Observation e9ca295c-df00-43a7-b645-d961d0d419f3 · outbound

This paper cites Friendship and mobility: User movement in location-based social networks,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Friendship and mobility: User movement in location-based social networks,

Reference 4

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source=pdf_text observed=2026-06-28T09:38:28.847667Z digest=sha256:65748ed47ec248d343cd8d385efdaeb2f6907c622f889e77b4acc729ceabce45

Observation 30669eb7-40d9-463e-9597-1462457aa208 · outbound

This paper cites Threats, attacks, and defenses in machine unlearning: A survey,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Threats, attacks, and defenses in machine unlearning: A survey,

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T09:38:28.847667Z digest=sha256:a9f076f774868be875e6ded438c0ff7165ca2154802aafc2c32339f9dd89e1ee

Observation 2ef8c63a-67ce-4718-8351-00d1ad6463c6 · outbound

This paper cites Unlearnable examples: Making personal data unexploitable,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Unlearnable examples: Making personal data unexploitable,

Reference 6

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Observation 332ab889-3090-4ed7-a11d-de4db268ead4 · outbound

This paper cites Detection and defense of unlearnable examples,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Detection and defense of unlearnable examples,

Reference 7

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Observation dba3cf71-97f3-4473-86b8-ce612359d250 · outbound

This paper cites Multimodal unlearnable examples: Protecting data against multimodal contrastive learning,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Multimodal unlearnable examples: Protecting data against multimodal contrastive learning,

Reference 8

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Observation ef75b12e-01c1-41d8-86da-85cf704f32d5 · outbound

This paper cites Unlearnable examples detection via iterative filtering,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Unlearnable examples detection via iterative filtering,

Reference 9

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Observation c170a554-b985-4852-83f9-f7e56498eb36 · outbound

This paper cites Robust unlearnable examples: Protecting data privacy against adversarial learning,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Robust unlearnable examples: Protecting data privacy against adversarial learning,

Reference 10

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Observation 5cfa6c80-96f3-4419-9051-dd4009d98bc0 · outbound

This paper cites Transferable unlearnable examples,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Transferable unlearnable examples,

Reference 11

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Observation 97c019d2-ecde-451f-b1d4-ad2c6ac1314f · outbound

This paper cites Unlearnable Examples For Time Series.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Unlearnable Examples For Time Series

Reference 12

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verified exact
arxiv_id, observed 2026-07-02T03:56:34.394093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a96af71a-80e3-432e-959d-cb31047f98fc · outbound

This paper cites BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection

Reference 13

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verified exact
arxiv_id, observed 2026-07-02T03:56:34.392770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1f60ca09-996b-439d-8499-6c0dfe4ac6cf · outbound

This paper cites Better safe than sorry: Preventing delusive adversaries with adversarial training,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Better safe than sorry: Preventing delusive adversaries with adversarial training,

Reference 14

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Observation 68d70113-31d2-46be-bf26-0c9f5698890d · outbound

This paper cites Never walk alone: Uncertainty for anonymity in moving objects databases,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Never walk alone: Uncertainty for anonymity in moving objects databases,

Reference 15

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Observation 617cf20d-ab90-4090-9c06-4841e4bb0cb1 · outbound

This paper cites DPT: Differentially private trajectory synthesis using hierarchi- cal reference systems,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy DPT: Differentially private trajectory synthesis using hierarchi- cal reference systems,

Reference 16

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Observation 8f5eb875-a7c7-4e2c-836d-4978d624a788 · outbound

This paper cites Machine unlearning fails to remove data poisoning attacks,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Machine unlearning fails to remove data poisoning attacks,

Reference 17

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Observation f369fc3e-fb4d-4ba1-a78a-e6ae035dbc48 · outbound

This paper cites Poisoning at- tacks and defenses to federated unlearning,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Poisoning at- tacks and defenses to federated unlearning,

Reference 18

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Observation 70a714fe-5b9a-404d-80cd-c247dd6f8767 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy Towards deep learning models resistant to adversarial attacks,

Reference 19

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Pith citing papers

No inbound Pith citation observations are available.