Paper Citation Record · LEDGER

Towards Empathic Deep Q-Learning

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1906.10918.

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

pith.paper-citation-record.v1
1906.10918 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T15:33:05.781171Z

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 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

12 of 12 outbound references displayed

verified exact10
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af487fdd-280d-4221-a344-54c868ddbde7 · outbound

This paper cites Concrete Problems in AI Safety.

Towards Empathic Deep Q-Learning Concrete Problems in AI Safety

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:58.990419Z

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.

Observation 89014f71-5a23-4b64-8724-e15fc212d012 · outbound

This paper cites Low Impact Artificial Intelligences.

Towards Empathic Deep Q-Learning Low Impact Artificial Intelligences

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:58.971306Z

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.

Observation a491ce4a-c08a-4c12-a0cf-89588863ae3e · outbound

This paper cites Embedded Agency.

Towards Empathic Deep Q-Learning Embedded Agency

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T15:35:58.984441Z

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.

Observation ae047e06-1dcd-427d-b85c-fb9447a5c6dc · outbound

This paper cites AGI Safety Literature Review.

Towards Empathic Deep Q-Learning AGI Safety Literature Review

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:58.996514Z

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.

Observation ef095c1f-ce47-425b-8423-3bfdc86426c5 · outbound

This paper cites Penalizing side effects using stepwise relative reachability.

Towards Empathic Deep Q-Learning Penalizing side effects using stepwise relative reachability

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:58.977937Z

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.

Observation 451fbc69-6a32-44a5-beda-8cf00c300390 · outbound

This paper cites The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

Towards Empathic Deep Q-Learning The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T15:35:59.014381Z

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.

Observation d203dae5-4607-4bfa-86b9-7b75b60e10cb · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Towards Empathic Deep Q-Learning Scalable agent alignment via reward modeling: a research direction

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:59.002481Z

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.

Observation 6955ca31-36b3-4e62-9011-1cd5592b6f32 · outbound

This paper cites Modeling Others using Oneself in Multi-Agent Reinforcement Learning.

Towards Empathic Deep Q-Learning Modeling Others using Oneself in Multi-Agent Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:59.007865Z

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.

Observation c8a5567a-7b15-406e-aac4-369bb58a80a2 · outbound

This paper cites Trial without error: Towards safe reinforce- ment learning via human intervention.

Towards Empathic Deep Q-Learning Trial without error: Towards safe reinforce- ment learning via human intervention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:36:00.601017Z

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.

Observation 125810f4-2b7d-4e91-aaad-e0d4a7655852 · outbound

This paper cites Third-Person Imitation Learning.

Towards Empathic Deep Q-Learning Third-Person Imitation Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T15:35:59.020834Z

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.

Observation 36fe78de-0a7f-456d-8d6e-14e1b7dce635 · outbound

This paper cites Conservative Agency via Attainable Utility Preservation.

Towards Empathic Deep Q-Learning Conservative Agency via Attainable Utility Preservation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T15:35:58.964613Z

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.

Observation 99fcc845-3660-4ce1-b2da-7a1507985e35 · outbound

This paper cites Towards an ethical robot: internal models, consequences and ethi- cal action selection.

Towards Empathic Deep Q-Learning Towards an ethical robot: internal models, consequences and ethi- cal action selection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:36:00.596148Z

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.

Pith citing papers

No inbound Pith citation observations are available.