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Paper Citation Record · LEDGER

Evaluating Open-Domain Question Answering in the Era of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.06984.

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

pith.paper-citation-record.v1
2305.06984 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:01:43.702826Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:15:54.614358Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 11cbce47-033c-4ca4-934e-93d4e7fa12fd · inbound

Optimizing Temperature for Language Models with Multi-Sample Inference cites this paper.

Optimizing Temperature for Language Models with Multi-Sample Inference Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T20:01:43.702826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:01:43.702826Z digest=sha256:e9bebbf810b220e5ce5367a4b044872242d6c6c60c62b08d5c7e85fc8b7fb20f

Observation 9a358008-3eb4-4f87-a1b8-61e0c10fec2f · inbound

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules cites this paper.

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.061708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:30.061708Z digest=sha256:9bd4e250864ac9ee9b030e138629045932f71669c723e64c808147ff22c7bb96

Observation c0fa935c-da8d-4345-a357-1380e6a3b10c · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:00.350578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:00.350578Z digest=sha256:b29bbe180fb345a2b5b976638d6e8dd522905e3f8bc993b3c51a3d421ac90624

Observation 888f9e77-6b60-45c7-be84-9652d9aa5ad5 · inbound

LLMs are Introvert cites this paper.

LLMs are Introvert Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:27:12.460086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:27:12.460086Z digest=sha256:f281f67c1bded4ccb3357d3daa9838521019b171132db411b4e557fee1857d9d

Observation c365c414-fcc6-4da8-a250-a4dc36b78bf2 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:08:33.718926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:33.718926Z digest=sha256:c37b7cd33eb6043fc26836bf97205b07a7175b3733b89fb441b4bf5343da235c

Observation d64185b4-ee5d-4e65-a153-e30f21de1812 · inbound

Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators cites this paper.

Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:33.887192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:33.887192Z digest=sha256:335ef8e30baf642bbae7344a76d5a30be7965c31e0426c0b5ba312302bd4472c

Observation 0fc4d333-17c4-4fbc-a229-329185933c1b · inbound

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection cites this paper.

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T14:57:12.846665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:57:12.846665Z digest=sha256:dfa3535c98ec1203b2bd2c54bf8e6add153d2f88432401c9ff41e741320ca1a8

Observation b6be8b32-ebd9-4f66-acc8-98724e0fec8a · inbound

Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA cites this paper.

Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T22:18:42.765424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:18:42.765424Z digest=sha256:3fd1ed9c1bc8d13e4c39951639d4df8b2e4dff16dae63d9e22c337f325e1419e

Observation 0e88f5d3-3700-40e5-80ad-3f88f9bff7bf · inbound

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference cites this paper.

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T10:57:43.507915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:57:43.507915Z digest=sha256:4cabd5b16a125a4d5edae4aedad907df62a6ba8075d2e66e06f988a8c41e2e84

Observation d0102a14-e573-41ea-bd46-9b134abbf0ec · inbound

TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving cites this paper.

TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:54.194350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:52:09.041721Z digest=sha256:286ce7274ac7eb56f7075f821945940d2de5e09f4580424f7521463dc7d690ae

Observation 35334291-39ac-412a-ba30-cdfc201228d8 · inbound

StructKV: Preserving the Structural Skeleton for Scalable Long-Context Inference cites this paper.

StructKV: Preserving the Structural Skeleton for Scalable Long-Context Inference Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:54.617568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T18:37:10.526359Z digest=sha256:41e2a51fb5ba646513dad49a0aab097a4b695eb630c6fd313c2219424456084a

Observation 03e802c6-ed0a-4c82-b5a6-1a741f85b63f · inbound

Calibrating Model-Based Evaluation Metrics for Summarization cites this paper.

Calibrating Model-Based Evaluation Metrics for Summarization Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:41:36.969173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T06:36:55.334742Z digest=sha256:f4966eff77c846538c92ca85a2e40bead54f2f164225ff23acea5efcc3050438