Paper Citation Record · LEDGER

Causality for Natural Language Processing

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2504.14530.

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

pith.paper-citation-record.v1
2504.14530 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:57:56.073143Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

23 of 23 outbound references displayed

verified exact2
verified fuzzy2
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc17753f-4ec4-41fa-9213-5e35ba844ad0 · outbound

This paper cites How to Make Causal Inferences Using Texts.

Causality for Natural Language Processing How to Make Causal Inferences Using Texts

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:57:56.297436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0eb1d46-42c3-459c-9ad6-c4e5611adc21 · outbound

This paper cites Global Sentiment Analysis Of COVID-19 Tweets Over Time.

Causality for Natural Language Processing Global Sentiment Analysis Of COVID-19 Tweets Over Time

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:57:56.226712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0b2eeaa-1a24-4f94-92b3-4d72112b3639 · outbound

This paper cites Copy Suppression: Comprehensively Understanding an Attention Head.

Causality for Natural Language Processing Copy Suppression: Comprehensively Understanding an Attention Head

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.030474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7240d2ea-5aaf-473c-bc6b-b698bf471fec · outbound

This paper cites Inverse Scaling: When Bigger Isn't Better.

Causality for Natural Language Processing Inverse Scaling: When Bigger Isn't Better

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.034239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaacb0f6-615c-4908-be8d-5a6beada9be5 · outbound

This paper cites 38, 39 Tetsuya Nasukawa and Jeonghee Yi.

Causality for Natural Language Processing 38, 39 Tetsuya Nasukawa and Jeonghee Yi

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:56.349611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aff9a472-e544-4685-8a1b-569d04381b49 · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

Causality for Natural Language Processing Capabilities of GPT-4 on Medical Challenge Problems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.045307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552cc43e-1e6e-46ce-bae5-c326c8ebf875 · outbound

This paper cites an unresolved cited work.

Causality for Natural Language Processing Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:57:56.361427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af6af7a7-3574-48d7-8872-399908baf8cf · outbound

This paper cites What do you learn from context? Probing for sentence structure in contextualized word representations.

Causality for Natural Language Processing What do you learn from context? Probing for sentence structure in contextualized word representations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.061531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8d6868-099b-4988-a5e6-6b0ad2e29a17 · outbound

This paper cites Distinguishing cause from effect using observational data: methods and benchmarks.

Causality for Natural Language Processing Distinguishing cause from effect using observational data: methods and benchmarks

Reference 499

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:57:56.186925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98a68107-3733-4bb2-879a-4ed59f298490 · outbound

This paper cites On Using Monolingual Corpora in Neural Machine Translation.

Causality for Natural Language Processing On Using Monolingual Corpora in Neural Machine Translation

Reference 672

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.002154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 673dd7bc-1b9c-487c-9cdb-c1f13cea0751 · outbound

This paper cites Towards Causal Representation Learning.

Causality for Natural Language Processing Towards Causal Representation Learning

Reference 731

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.056783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f91b0c-848f-4756-b704-ed35b6999483 · outbound

This paper cites Emergent Abilities of Large Language Models.

Causality for Natural Language Processing Emergent Abilities of Large Language Models

Reference 1103

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.065521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7037d96d-d9ab-4aff-9d5e-3b8f23f0263b · outbound

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Causality for Natural Language Processing Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 1993

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.015009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ca3f75-d7f9-4ba3-b219-d4c7d1dcb68c · outbound

This paper cites A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trends.

Causality for Natural Language Processing A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trends

Reference 2008

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:57:56.272273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b9124c2-4d22-4497-89ac-8afa2d23287a · outbound

This paper cites Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems.

Causality for Natural Language Processing Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:55.993407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4579d5e6-0028-4a91-adc0-0a4535a16c10 · outbound

This paper cites ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning.

Causality for Natural Language Processing ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.069519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86df1ab2-eb45-41da-ad12-0ae653704026 · outbound

This paper cites NumGPT: Improving Numeracy Ability of Generative Pre-trained Models.

Causality for Natural Language Processing NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.011083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42763314-1af0-45de-97fc-41693b2bf7a7 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Causality for Natural Language Processing DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.053053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb136627-7323-409b-9432-5217e78e3707 · outbound

This paper cites multilingual.

Causality for Natural Language Processing multilingual

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:56.338538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a516ae8-551f-465d-af95-6fad48b5f6ba · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Causality for Natural Language Processing Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:55.989049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f7972b0-d534-4b21-b156-3e8de4325ac5 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Causality for Natural Language Processing Large Language Models are Zero-Shot Reasoners

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.018883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf0f7566-165c-449a-baac-1fd1c8c5b35d · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Causality for Natural Language Processing GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:55.983720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 794cf942-5d3b-4471-bce3-4c4a4af93ee7 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Causality for Natural Language Processing Representation Engineering: A Top-Down Approach to AI Transparency

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:56.073143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.