Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:30:44.757300Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2603.24917.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:30:44.757300Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T01:52:09.658975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:01:38.041828Z
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0b35f267-826b-49c7-a22f-6468f7d8092c · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 1
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Observation baf2f07d-1c76-40e9-bd98-7ff5ad1a1368 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 2
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Observation ce89ac67-a64b-4c90-bf7d-c9c837f00304 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Computing pz without sampling (teacher-forced scoring).To evaluate pz for verbatim extraction, we do not need to generate any tokens
Reference 3
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Observation 3d8b3f0e-92c1-4337-8b2d-dd07a3fd1374 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search , T− 1}; existence)If T≥ 3and |V| ≥T, then there exists b∈V T such that for everyεwith2≤ε<T, BHam ε (b)⊊B Lev ε (b)
Reference 4
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Observation d5f0365a-ceb8-4065-a2bd-b9abd70c0cb2 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 5
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Observation 6aa36cb5-8817-472d-af18-465cb5a3240d · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search And so c∈B Lev ε (b)—i.e., every member of BHam ε (b) must also be a member of BLev ε (b)
Reference 6
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Unavailable: canonical work link unavailable.
Observation fb37b07f-8ae7-43b8-a2d0-986229e18af9 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 7
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Unavailable: canonical work link unavailable.
Observation 76c89146-1c27-4b07-abfc-78757f52c737 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search And so, by Equation 22, Levenshtein(b, c)≤Hamming(b , c)≤T
Reference 8
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Observation bf79a23a-ab79-40d9-b86f-363755c75a79 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search samples independently either hits or misses the ε-ball
Reference 9
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Observation 29437d09-02f7-4d1e-ba96-484dfb4e384e · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search no extraction
Reference 10
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Unavailable: canonical work link unavailable.
Observation cc3585ff-2005-4efc-a05a-a543e630262b · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 11
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Observation 11ba697b-8cc9-4548-9dd7-d39125474b30 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search 25 Preprint
Reference 12
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Observation 22f46c13-8a73-442e-8e10-354a09690042 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search This is done for efficiency, i.e., to prevent explosive blow-up of the number of sequences under consideration
Reference 13
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Observation b8ec3949-da43-4d99-a9e3-1d80a78d3013 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 14
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Observation acd5510d-b59e-4f61-bd39-ae1d2124c274 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 15
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Observation e97607d2-7d23-4e6b-a9d1-a41b4b37c419 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search After T steps, the algorithm returns all B·k complete continuations (i.e., without performing a final across-beam prune)
Reference 16
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Observation c8c7dca5-7107-455a-a675-8847494e4846 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 17
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Observation 02ff42f2-aef0-4479-8e21-b0b4569b5dd5 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 18
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Observation cc1dd9db-582f-4d52-8638-3a2ce60ee1a0 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Select the top-B candidates from the top-k tokens →L 1 (no additional forward pass needed)
Reference 19
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Unavailable: canonical work link unavailable.
Observation 01c04cb2-b862-4759-ba6d-d35bb6953c6a · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search up to B·k
Reference 20
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Observation 2d6e1e9a-4a22-4b52-8ad7-76302cb7251c · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 21
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Observation 44172af5-bce0-418a-a28e-bade66dec173 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 22
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Unavailable: canonical work link unavailable.
Observation 4b1cff9e-68fe-4fc7-bb81-d688d816f7d2 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 23
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Observation 94b24322-352a-4d0e-a1e0-523fcb369feb · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search looks bad
Reference 24
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Unavailable: canonical work link unavailable.
Observation 6155a84e-5da1-4a68-bdc8-25833e1245a5 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search , jmax(t+1) (left to right) using Equation 48, treating any out-of-band predecessor as +∞
Reference 25
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Observation 1d4b6fe0-3531-4362-955a-66bac3fd8d53 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 26
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Observation a2a0f789-c835-4331-b480-d607204b8ef5 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 29
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Observation eba9014b-6c81-4f55-a567-660ff6f71cd7 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 30
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Observation d9a3aed9-4ebd-4ab6-ae8d-47e7e99c3379 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search Unresolved cited work
Reference 31
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Observation 89f8b195-2134-43bb-82dc-30610fd70aa5 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search List of submissions to the Nth Academy Awards
Reference 32
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Observation 8c92d928-5cc0-4acb-a077-d315ad1603c9 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search The template structure and stock phrases (track descriptions, race numbering) are widely duplicated
Reference 33
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Observation 69faf6fa-0a11-4669-96ee-3c4a28c74a68 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search b z(suf):rought the Batman to the forefront of public consciousness
Reference 34
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Observation bd445c13-0ca5-4e48-8760-f444b35ba4fc · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search unlocked
Reference 35
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Unavailable: canonical work link unavailable.
Observation a8c0d47e-0338-4187-b1fb-2e63a72d2743 · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search For the baseline runs, we also manually examine outputs that surpassτmin but are not within Levε= 5 of the target suffix
Reference 749
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Observation 79961fc0-ef43-4a3b-9ce7-8009e312a37b · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search running mismatch counter ≤ε
Reference 1974
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Observation 7fd05494-9716-459d-8b11-a7c4e64407bb · outbound
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search We thenreservoir sampled11 100,000 pages that fit these conditions from the whole range of Wikipedia pages in this time frame, de-duplicating by page ID
Reference 2024
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Observation fbaff7eb-e6f1-4d7c-840e-da82b54cdbd6 · inbound
Extracting memorized pieces of (copyrighted) books from open-weight language models Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
Reference 61
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dc3fdf8a-09e0-4afd-b711-65a5e1fc4f1f · inbound
Probabilistic "Copies" in Generative AI Models Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
Reference 24
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