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Paper Citation Record · LEDGER

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.10441.

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

pith.paper-citation-record.v1
2607.10441 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:45:09.424370Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1f71b57-7e17-45ba-bce6-f0b2d47c9e41 · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:720666f76310b38db99f83782983707e855627c471b1a4aa88fb107287a92492

Observation af5e3c28-3f2e-4c9d-9cb6-426ab42c9670 · outbound

This paper cites Geometric Context Transformer for Streaming 3D Reconstruction.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Geometric Context Transformer for Streaming 3D Reconstruction

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:7d3a9ae4ef2f6f84aa981804aeda0afd77e2cc209a684631324e10eaa5c8251a

Observation 149f7e92-7517-465d-bd5e-e044d83ef52b · outbound

This paper cites On the Parameterization and Initialization of Diagonal State Space Models.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams On the Parameterization and Initialization of Diagonal State Space Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:e14a919b6182fe4f0c82e6d815e5d6303d33cb1eb57319decc5a50dac23ff926

Observation 6f46d5af-60da-45d5-b8e7-d087c9a52f5d · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:ca2fdb08c3252e1e9ed235980905f5b49b244fc1beb762c40822869ed3996195

Observation 1ce7cf71-0aa1-429a-acce-aae0ba99215a · outbound

This paper cites Repeat After Me: Transformers are Better than State Space Models at Copying.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Repeat After Me: Transformers are Better than State Space Models at Copying

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:e862b258f01c0a6c42b407c5e90407edabb6cd0c2355b1500a47110d32c59d0b

Observation 3e4e6f1a-9dfa-4114-b2e5-0526f0b608e0 · outbound

This paper cites Revisiting k-means: New Algorithms via Bayesian Nonparametrics.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:57d578410c0780658cb63116baf72015d7a8e1babd707fbcced97117682094e7

Observation c972d9c1-4a2a-4b53-be7b-48b53b518d01 · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams SnapKV: LLM Knows What You are Looking for Before Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:862e97f0529bee9c4de78f6fd782127f9b641de8a839879295009daef1c0ad89

Observation 3f34daa2-d0f3-4c0c-9bd9-1ac3bc150272 · outbound

This paper cites In-context Learning and Induction Heads.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams In-context Learning and Induction Heads

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:0fe363437d0c2890ef5dab3c123d4a6bc0d13ea8b6e30a30b94f46a766934d7f

Observation 0ff3fb03-9925-4366-98ff-8870f756ca8d · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams FiLM: Visual Reasoning with a General Conditioning Layer

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:816d836f8eb5a256b980a5f89b29a24bff1e52e59afd9c218faa790dd6be2e79

Observation 461db6f4-4b63-4f1e-8281-9fde8e7daf4d · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Efficient Streaming Language Models with Attention Sinks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:1a95f9ae1a1f91969ebd08c68030d92dd331f7e2210184fb7a1e6b1e0855a003

Observation 6b3217b3-2592-4f26-b2a9-99c0ed3ca0af · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:fe39fd21b619e43247da27fff4ff8c25fb802e1ff7daf34a1b9a21bd59d53057

Observation 1fe87128-1dea-4d98-a1f8-81788532a220 · outbound

This paper cites Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:45:09.424370Z digest=sha256:6e11afdae74c304e8ce6c5ebf2490905f5a7fb84a30b3aa8cb1b9e2110ff1cef

Pith citing papers

No inbound Pith citation observations are available.