Paper Citation Record · LEDGER

DateLogicQA: Benchmarking Temporal Biases in Large Language Models

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.13377.

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

pith.paper-citation-record.v1
2412.13377 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:15:34.146881Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3639ad6f-dd8e-40a9-a876-24108bfd38f3 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.896020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aedaf6f-161c-4481-a29f-e2fb9fcb5c84 · outbound

This paper cites Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.906119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc3bbaa-8027-43ad-bd5e-a5fe445b4bb0 · outbound

This paper cites Interleaving Text and Number Embeddings to Solve Mathemathics Problems.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Interleaving Text and Number Embeddings to Solve Mathemathics Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.916058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97527c4e-83c1-4901-a767-2b65809ed6cd · outbound

This paper cites Language Models are Few-Shot Learners.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.926142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c119f560-f1b9-43e7-a5e4-8218a36ca753 · outbound

This paper cites an unresolved cited work.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:15:35.193150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7aee0ba4-1ff6-4d6e-8096-11e1307845a2 · outbound

This paper cites The Llama 3 Herd of Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models The Llama 3 Herd of Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.950116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a21248-58c0-4b15-b128-e53497781a7f · outbound

This paper cites Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.958984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3ca96a-2f64-43f2-b1e8-aba675c3728e · outbound

This paper cites The Foundations of Tokenization: Statistical and Computational Concerns.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models The Foundations of Tokenization: Statistical and Computational Concerns

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.965512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbc92e88-ef04-4bc5-b659-bfcae7782adb · outbound

This paper cites Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.972335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd843bf-131e-4b3d-b4b1-e20564763615 · outbound

This paper cites ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:15:34.899502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2987062f-3985-42a0-a9cb-056ad6299ac4 · outbound

This paper cites Mistral 7B.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Mistral 7B

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:33.986876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944cfa6d-db69-4621-8944-3bdc666b68ce · outbound

This paper cites Unveiling Divergent Inductive Biases of LLMs on Temporal Data.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Unveiling Divergent Inductive Biases of LLMs on Temporal Data

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:15:34.835666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa736ab2-de03-4c11-8350-8e09cf6cfe70 · outbound

This paper cites How Much Can RAG Help the Reasoning of LLM?.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models How Much Can RAG Help the Reasoning of LLM?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.000208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae945cd-9f66-458f-988a-f1c6598b495d · outbound

This paper cites an unresolved cited work.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.013279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d51d96-236e-4787-968d-e1868fe302c0 · outbound

This paper cites GPT-4o System Card.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models GPT-4o System Card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.018741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba74f2c-468e-4b91-81bf-1651dd6b1fe1 · outbound

This paper cites GPT-4 Technical Report.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models GPT-4 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.024810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636290a4-b8b9-4fbb-8001-f49995829f29 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.030121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3e9f07-f25e-4dec-a811-0f0467f5ba75 · outbound

This paper cites Toward a Theory of Tokenization in LLMs.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Toward a Theory of Tokenization in LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.035803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19f79244-ef34-435c-b3bb-2031095571a3 · outbound

This paper cites Tokenization Is More Than Compression.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Tokenization Is More Than Compression

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.043441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05777839-e349-420c-a538-6129381bf7b8 · outbound

This paper cites Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.049927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c155b720-4643-4d42-8301-16958bdbc26d · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.055526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5d0477-e022-40ff-a80e-37d32c300c29 · outbound

This paper cites Timo: Towards Better Temporal Reasoning for Language Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Timo: Towards Better Temporal Reasoning for Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.067071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 642a10b6-5547-44ee-bf74-42a85c14a254 · outbound

This paper cites Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.074398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e495ff7-ce5e-4682-a39e-176386d8d9ab · outbound

This paper cites Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.080489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b93222fa-ecdb-4722-8f49-f8977a63048f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.086852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7532a3f1-0dff-4fab-9292-29a4748c7b09 · outbound

This paper cites RedPajama: an Open Dataset for Training Large Language Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models RedPajama: an Open Dataset for Training Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.092546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d11fb6-33d9-4827-abe4-d78f3f42b4ed · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.098672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46188d41-63d4-4085-9ad6-7bb571f10584 · outbound

This paper cites Large Language Models Can Learn Temporal Reasoning.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Large Language Models Can Learn Temporal Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.110311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04418d5d-aaf7-4fc5-b174-6fa8b5ada241 · outbound

This paper cites Qwen2 Technical Report.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Qwen2 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.115800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58aa1b7-0ef2-4de4-b481-44d4731dba0c · outbound

This paper cites Counting Ability of Large Language Models and Impact of Tokenization.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Counting Ability of Large Language Models and Impact of Tokenization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.122508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3023a51d-8a30-4aac-bea4-2c022352ab68 · outbound

This paper cites Set the Clock: Temporal Alignment of Pretrained Language Models.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Set the Clock: Temporal Alignment of Pretrained Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.128539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c708fd36-8ff6-4453-993a-89f6ff0f3e44 · outbound

This paper cites Is Your LLM Outdated? A Deep Look at Temporal Generalization.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Is Your LLM Outdated? A Deep Look at Temporal Generalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.134349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d20336-e61f-40df-b686-cb350ea3d46b · outbound

This paper cites URL: " 'urlintro :=.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models URL: " 'urlintro :=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.140307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2a6139-a951-448c-aa38-5fb57a2a1efc · outbound

This paper cites write newline.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.146881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.