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Paper Citation Record · LEDGER

Context Embeddings for Efficient Answer Generation in RAG

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.09252.

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

pith.paper-citation-record.v1
2407.09252 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:02.217524Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7becfebc-2c83-42eb-bca1-c57f2eac22b6 · inbound

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning cites this paper.

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning Context Embeddings for Efficient Answer Generation in RAG

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:38:25.043178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T20:36:55.159302Z digest=sha256:573bfe5a091f8df11540c5b027c29072017149f5cd1885d8db7895d0da358eaf

Observation 23792d52-767b-4689-9a32-3737333532fc · inbound

Reranking with Compressed Document Representation cites this paper.

Reranking with Compressed Document Representation Context Embeddings for Efficient Answer Generation in RAG

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:02.217524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:02.217524Z digest=sha256:b1fda5efaeac95e4a4fed5c2bf71c2622fdaf5265cae730c27db60b3098e389e

Observation bff422c5-d0f5-4dc3-8f50-faa4b0c24bcc · inbound

Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning cites this paper.

Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning Context Embeddings for Efficient Answer Generation in RAG

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:37.108595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:37.108595Z digest=sha256:3bbdcdf0f44a36bd3c2424eeb9fa3488aa545ccab5a9b7b6e1d2f8549f1c1dc2

Observation 11b719a3-2948-478d-a59e-4630f914b1c7 · inbound

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts Context Embeddings for Efficient Answer Generation in RAG

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T11:23:51.343320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:23:51.343320Z digest=sha256:ff608874f23eede224470309702b8599e913f7c8ce9f70335ec674834577d7cb

Observation ce985ec4-ef6a-405c-b915-cba27ed15caf · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Context Embeddings for Efficient Answer Generation in RAG

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T08:06:14.065784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:06:14.065784Z digest=sha256:09b871cc6f1f1db9f9f050b60345557424e3930a0e8832108d34ac128d18a1bf

Observation d40fe46d-ea20-477c-8e07-f64cc9a94beb · inbound

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation cites this paper.

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation Context Embeddings for Efficient Answer Generation in RAG

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:55:20.074375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T11:54:09.047134Z digest=sha256:964dcfd33bb473ed3678b1b5c2a580f31630312ae2c8ff2b8c55fd56d18b9738

Observation 5372bba4-d58a-4489-8918-0a13d4cac53b · inbound

Efficient Listwise Reranking with Compressed Document Representations cites this paper.

Efficient Listwise Reranking with Compressed Document Representations Context Embeddings for Efficient Answer Generation in RAG

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:25.587805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T10:44:37.955281Z digest=sha256:e9837bd9a18af6ebdbefe135f0fc5fafd9c711d4df7862741ce45078a8256904