Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-05T16:01:11.490737Z
Paper Citation Record · LEDGER
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding
As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.07524.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact1
- verified fuzzy3
- unresolved3
- parse uncertain0
- malformed identifier1
- metadata mismatch7
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f2a03c00-713a-49f9-9993-d1a6f7829b29 · outbound
This paper cites William B Johnson, Joram Lindenstrauss, and 1 others.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding William B Johnson, Joram Lindenstrauss, and 1 others
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T16:11:15.878361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8ff3b2f6-dcd9-49bb-9041-948d649bedd4 · outbound
This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.783030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8ea7b8ae-3d13-42f4-a6d4-15df4a55681c · outbound
This paper cites Qwen2 Technical Report.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Qwen2 Technical Report
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.785861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a41a34d7-03c8-48ac-b196-b3d55ee4d82b · outbound
This paper cites Protect Your Prompts: Protocols for IP Protection in LLM Applications.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Protect Your Prompts: Protocols for IP Protection in LLM Applications
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.769297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25ff6adc-aaf8-4670-b11b-7ac693a6d245 · outbound
This paper cites Gradient based Feature Attribution in Explainable AI: A Technical Review.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Gradient based Feature Attribution in Explainable AI: A Technical Review
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.779753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f7928dbc-0230-4bc7-9f90-3df9f0ea3c13 · outbound
This paper cites Qwen3 Technical Report.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Qwen3 Technical Report
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.772906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ffb5917d-ab13-4426-99f0-e6bee7181d43 · outbound
This paper cites Phylolm: Inferring the phylogeny of large language models and predicting their performances in benchmarks.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Phylolm: Inferring the phylogeny of large language models and predicting their performances in benchmarks
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-05T16:11:15.762000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 028946e9-6e9c-40ed-8495-bc09ce5fc56b · outbound
This paper cites A Survey of Large Language Models.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding A Survey of Large Language Models
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.765876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 64a7d00e-e083-4373-9ec2-399bdca5ba76 · outbound
This paper cites EmbedLLM: Learning Compact Representations of Large Language Models.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding EmbedLLM: Learning Compact Representations of Large Language Models
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T16:11:15.776152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 076535a0-717c-469f-ae66-bbd4f5e5877a · outbound
This paper cites an unresolved cited work.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T16:11:15.880720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a852c03d-529d-45ce-8340-ad6873b014f8 · outbound
This paper cites Then the ABLE mappingΦ :θ7→Φ(θ)is Lips- chitz continuous: ∥Φ(θ)−Φ(θ ′)∥2 ≤L∥θ−θ ′∥2, whereL=BM L ϕ.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Then the ABLE mappingΦ :θ7→Φ(θ)is Lips- chitz continuous: ∥Φ(θ)−Φ(θ ′)∥2 ≤L∥θ−θ ′∥2, whereL=BM L ϕ
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T16:11:15.888445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d36864a8-02ae-4463-885c-0a3f155d5bce · outbound
This paper cites an unresolved cited work.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T16:11:15.885686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5837503a-ad74-47df-9ef8-2cf1ec7783a6 · outbound
This paper cites an unresolved cited work.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T16:11:15.890493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a28bbab9-ecb6-4db3-9501-6366b3d72338 · outbound
This paper cites Then the gradient field∇ xsθ(x)isM-Lipschitz continuous inθfor some constantM >0.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Then the gradient field∇ xsθ(x)isM-Lipschitz continuous inθfor some constantM >0
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T16:11:15.875994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2ef2d874-a67e-4283-a8bc-95e034c6c490 · outbound
This paper cites Conversely, dimensions beyond 256 offer only marginal gains while incur- ring higher computational and storage costs.
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Conversely, dimensions beyond 256 offer only marginal gains while incur- ring higher computational and storage costs
Reference 15
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-05T16:11:15.883429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.